- published: 08 Jul 2015
- views: 7495
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Bootstrap is very simple technique used for small samples. Major takeaways from video are:
What?: Resampling with replacement from sample data.
Why?: To find std errors without invoking CLT.
How?: K times repetitive sampling of size n (observation).
When to use?: Most suitable for small sample sizes.
Major Advantage: No need to invoke CLT or normality assumption
This short video gives an explanation of the concept of confidence intervals, with helpful diagrams and examples.
Find out more on Statistics Learning Centre: http://statslc.com
- published: 27 Mar 2013
- views: 447895
http://how2stats.blogspot.com/2011/09/heteroskedasticity-adjusted-standard.html
I demonstrate how to estimate accurate standard errors in multiple regression in the presence of heteroscedasticity. To do so, I run a macro developed by Andew F. Hayes which can be found here:
http://www.afhayes.com/spss-sas-and-mplus-macros-and-code.html
Once the macro has been run (only once), you need to run the following syntax:
HCREG dv = "variable_name"
/iv = "variable_name1" "variable_name2", etc.
/const = 1
/method = 3
/covmat = 1
/test = 1
- published: 30 Jun 2011
- views: 17357
Lecturer: Dr. Erin M. Buchanan
Missouri State University
Spring 2015
Mediation analysis video covering model 4 in the process plug in (Hayes, 2013).
Lecture materials and assignment available at statstools.com.
http://statstools.com/learn/advanced-statistics/
- published: 16 Apr 2015
- views: 58704
In this Bootstrap 3 Tutorial, we will be creating a popup modal which can display text, images, videos or any other HTML element.
Bootstrap: http://getbootstrap.com
Code: http://www.coders-guide.com/watch?v=56
Website: http://coders-guide.com
Twitter: http://twitter.com/coders_guide
Facebook: http://goo.gl/DmWtB
Google+: http://goo.gl/cGyk8
Donate: http://goo.gl/q3MPw
- published: 15 Sep 2013
- views: 153089
Stata 14 lets you estimate the Satorra-Bentler adjusted model test. In this short video we show you how to specify that Satorra-Bentler scaled chi-squared test that can be used in place of the usual likelihood ratio test when estimating an SEM with nonnormal data.
For more information about Satorra-Benter adjustments in Stata, see http://www.stata.com/stata14/sem-satorra-bentler. Copyright 2011-2017 StataCorp LLC. All rights reserved.
- published: 07 Apr 2015
- views: 2815
Advancing the Blog: 9 - Django Crispy Forms
** Advancing the Blog ** is an extended look at building a modern blog with the Django Framework while leveraging other technologies such as jQuery, Markdown, Bootstrap, APIs, and more.
We will be starting where Try Django 1.9 left off to create a powerful blog ready for the modern era. It is highly recommend to start with Try Django 1.9 before starting this series.
Watch Try Django 1.9 here: https://www.youtube.com/playlist?list=PLEsfXFp6DpzQFqfCur9CJ4QnKQTVXUsRy
Subscribe to our channel: http://bit.ly/1kxmkzq
Generally the topics will include:
- Django Project Setup
- Class Based Views (& some Function Based Views)
- Models, Model Forms, Forms, Form Validation
- Integrate Bootstrap front-end framework.
- Django Registration Redux for Authentication/Registration
- And More
Suggest and up-vote project ideas here: http://joincfe.com/suggest/ (please keep out content related to the Build a Django 1.8 Blog series)
Premium, in-depth, Django tutorials available here: http://joincfe.com/projects.
We are Coding For Entrepreneurs [TeamCFE] and have built an entire library of content to help you master Django and other web technologies to launch real projects faster. Enroll today for as low as $20/month.
Subscribe: http://bit.ly/1kxmkzq (shareable subscribe link)
What Technology you'll learn in the Build a Django 1.8 Blog series:
-- Django Framework (version 1.9): a powerful backend framework used by top sites like Instagram and Pinterest. Django makes it easier to have a powerful web application to use for all types of projects. Django is written in Python (and is one of the most popular Python libraries in the world). Read more here: http://djangoproject.com
-- Bootstrap (version 3.3): a powerful front-end framework used by thousands of sites around the world. Bootstrap makes it easier to have a responsive web application so it looks awesome on any mobile device and any desktop computer.
-- Python: One of the top programming languages in the world. Powerful enough for the experts, easy enough for beginners. Why? It uses spaces and line breaks with minimal special characters (like !@#$;*) which means it's closer to English than most programming languages. Learn more: http://python.org
All of our tutorials have a simple goal in mind: get you building something real and quickly.
- published: 24 Mar 2016
- views: 8122
A brief tutorial on how to use the technique of Cross Validation to estimate machine learning algorithm's performance and to choose between different models.
- published: 19 Jan 2012
- views: 21583
This video demonstrates how to conduct an ANOVA with a Bonferroni correction (Bonferroni post hoc test) in SPSS. Two different methods of conducting a Bonferroni correction are reviewed. This correction reduces the Type I Error rate when testing multiple hypotheses.
- published: 10 Nov 2015
- views: 22629
Facebook: https://www.facebook.com/OfficialTomHeylen
RESPONSIVE WEB DESIGN TUTORIAL FOR BEGINNERS – MOBILE WEBDESIGN - HTML5 css3
Please have a look at my webpage where you can find extra information and
download the pdf version.
http://tomtomheylen.com/categories/Responsive_web_design/Responsive_web_design_part_1.php
Exercise file
http://tomtomheylen.com/download_file.php?file=responsive1_final&extention;=html
NEXT VIDEO – responsive images, videos, menus, backgrounds and hiding elements
http://www.youtube.com/watch?v=1hTkEV43P_Q
IN THIS VIDEO YOU WILL LEARN
How to make a responsive webpage using HTML and css
The difference between a mobile website and a responsive website and why not to use the mobile version.
You should have a basic understanding of html and css in order to follow along this video.
I got really confused when starting to look into the topic of mobile devices, responsive web design and mobile sites.
This video will save you the time and hassles.
RESPONSIVE WEBDESIGN vs MOBILE VERSION
A responsive website is one website that resizes all the way to fit the screen of the user's device
Whereas a mobile version is a different website usually starting with m-dot
Why not to use the m-dot version.
Responsive web design doesn't require a separate website
You only have to maintain one website that looks good on any device.
m.dot websites can create errors when sharing url's, as they will be opened on desktop and mobile devices.
When errors, Search engines will punish your site in ranking lower
And the list goes on.
HTML & CSS FOR RESIZABLE WEB DESIGN
You can download the exercise file in the link below.
http://tomtomheylen.com/download_file.php?file=responsive1_final&extention;=html
A good way to build your website is by making your html tags fluid.
It is very easy to do by using percentage in your css.
For this example we are making a head, menu, the content body and a footer, centered in the web browser.
You only have to give the elements a min-height and a marging left and right.
With min-height, the elements can increase if needed,
Margin left and right are expressed in percentige to keep proportion for any screen resolution.
And same thing for margin-top and bottom.
You can play around with this figures to fit your needs.
So here we have a responsive website!!!
When I view this website on a mobile device however, it shows the website in full resolution and I have to zoom-in and out to navigate
.
Here is where the Viewport Meta Tag comes into play...
The viewport metatag was Apple's solution to the problem and was quickly adopted by other platforms. But was never pud forward by the W3C.
Therefor we will define a similar viewport rule in our css.
And another one as a fix for internet explorer.
The width adjusts the site to the device in normal view and landscape view.
And zoom or initial 1 stands for no zooming.
There are a whole bunch of viewport properties to use for every single device
But to make it easy, we only use a few to fit all.
I leave you a link as a reference.
viewport reference:
https://developer.mozilla.org/en/docs/Mozilla/Mobile/Viewport_meta_tag
When we view our webpage on a mobile device now, it looks the way we want.
NEXT VIDEO
http://www.youtube.com/watch?v=1hTkEV43P_Q
In the next video you will learn how to make
responsive navigation menus,
responsive images and videos,
responsive backgrounds
and how to hide elements.
Did you like this video?
Subscribe to my channel and share!
http://www.youtube.com/subscribe_widget?p=tomtomheylen1
Resources:
http://searchenginewatch.com/article/2208496/72-of-Consumers-Want-Mobile-Friendly-Sites-Google-Research
http://blog.hubspot.com/marketing/google-hates-your-mobile-optimized-website-ht
http://webdesign.tutsplus.com/articles/quick-tip-dont-forget-the-viewport-meta-tag--webdesign-5972
https://developer.mozilla.org/en/docs/Mozilla/Mobile/Viewport_meta_tag
- published: 07 Oct 2014
- views: 27552
Bootstrap error-adjusted single-sample technique
In statistics, the bootstrap error-adjusted single-sample technique (BEST or the BEAST) is a non-parametric method that is intended to allow an assessment to be made of the validity of a single sample. It is based on estimating a probability distribution representing what can be expected from valid samples. This is done use a statistical method called bootstrapping, applied to previous samples that are known to be valid.
Methodology
BEST provides advantages over other methods such as the Mahalanobis metric, because it does not assume that for all spectral groups have equal covariances or that each group is drawn for a normally distributed population. A quantitative approach involves BEST along with a nonparametric cluster analysis algorithm. Multidimensional standard deviations (MDSs) between clusters and spectral data points are calculated, where BEST considers each frequency to be taken from a separate dimension.
BEST is based on a population, P, relative to some hyperspace, R, that represents the universe of possible samples. P* is the realized values of P based on a calibration set, T. T is used to find all possible variation in P. P* is bound by parameters C and B. C is the expectation value of P, written E(P), and B is a bootstrapping distribution called the Monte Carlo approximation. The standard deviation can be found using this technique. The values of B projected into hyperspace give rise to X. The hyperline from C to X gives rise to the skew adjusted standard deviation which is calculated in both directions of the hyperline.
This page contains text from Wikipedia, the Free Encyclopedia -
https://wn.com/Bootstrap_error-adjusted_single-sample_technique
This article is licensed under the Creative Commons Attribution-ShareAlike 3.0 Unported License, which means that you can copy and modify it as long as the entire work (including additions) remains under this license.
This article is licensed under the Creative Commons Attribution-ShareAlike 3.0 Unported License, which means that you can copy and modify it as long as the entire work (including additions) remains under this license.
SPSS
SPSS Statistics is a software package used for statistical analysis. Long produced by SPSS Inc., it was acquired by IBM in 2009. The current versions (2015) are officially named IBM SPSS Statistics. Companion products in the same family are used for survey authoring and deployment (IBM SPSS Data Collection), data mining (IBM SPSS Modeler), text analytics, and collaboration and deployment (batch and automated scoring services).
The software name originally stood for Statistical Package for the Social Sciences (SPSS), reflecting the original market, although the software is now popular in other fields as well, including the health sciences and marketing.
Overview
SPSS is a widely used program for statistical analysis in social science. It is also used by market researchers, health researchers, survey companies, government, education researchers, marketing organizations, data miners, and others. The original SPSS manual (Nie, Bent & Hull, 1970) has been described as one of "sociology's most influential books" for allowing ordinary researchers to do their own statistical analysis. In addition to statistical analysis, data management (case selection, file reshaping, creating derived data) and data documentation (a metadata dictionary was stored in the datafile) are features of the base software.
This page contains text from Wikipedia, the Free Encyclopedia -
https://wn.com/SPSS
This article is licensed under the Creative Commons Attribution-ShareAlike 3.0 Unported License, which means that you can copy and modify it as long as the entire work (including additions) remains under this license.
This article is licensed under the Creative Commons Attribution-ShareAlike 3.0 Unported License, which means that you can copy and modify it as long as the entire work (including additions) remains under this license.
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8:40Bootstrap Sample Technique in R software
Bootstrap Sample Technique in R softwareBootstrap Sample Technique in R software
Bootstrap is very simple technique used for small samples. Major takeaways from video are: What?: Resampling with replacement from sample data. Why?: To find std errors without invoking CLT. How?: K times repetitive sampling of size n (observation). When to use?: Most suitable for small sample sizes. Major Advantage: No need to invoke CLT or normality assumption -
4:03Understanding Confidence Intervals: Statistics Help
Understanding Confidence Intervals: Statistics HelpUnderstanding Confidence Intervals: Statistics Help
This short video gives an explanation of the concept of confidence intervals, with helpful diagrams and examples. Find out more on Statistics Learning Centre: http://statslc.com -
5:06Heteroscedasticity Adjusted Standard Errors - SPSS (part 1)
Heteroscedasticity Adjusted Standard Errors - SPSS (part 1)Heteroscedasticity Adjusted Standard Errors - SPSS (part 1)
http://how2stats.blogspot.com/2011/09/heteroskedasticity-adjusted-standard.html I demonstrate how to estimate accurate standard errors in multiple regression in the presence of heteroscedasticity. To do so, I run a macro developed by Andew F. Hayes which can be found here: http://www.afhayes.com/spss-sas-and-mplus-macros-and-code.html Once the macro has been run (only once), you need to run the following syntax: HCREG dv = "variable_name" /iv = "variable_name1" "variable_name2", etc. /const = 1 /method = 3 /covmat = 1 /test = 1 -
37:21SPSS - Mediation Analysis with PROCESS
SPSS - Mediation Analysis with PROCESSSPSS - Mediation Analysis with PROCESS
Lecturer: Dr. Erin M. Buchanan Missouri State University Spring 2015 Mediation analysis video covering model 4 in the process plug in (Hayes, 2013). Lecture materials and assignment available at statstools.com. http://statstools.com/learn/advanced-statistics/ -
7:38Bootstrap 3 Tutorials - #6 - Modals (Popup Boxes)
Bootstrap 3 Tutorials - #6 - Modals (Popup Boxes)Bootstrap 3 Tutorials - #6 - Modals (Popup Boxes)
In this Bootstrap 3 Tutorial, we will be creating a popup modal which can display text, images, videos or any other HTML element. Bootstrap: http://getbootstrap.com Code: http://www.coders-guide.com/watch?v=56 Website: http://coders-guide.com Twitter: http://twitter.com/coders_guide Facebook: http://goo.gl/DmWtB Google+: http://goo.gl/cGyk8 Donate: http://goo.gl/q3MPw -
1:16Satorra-Bentler adjustments for SEM
Satorra-Bentler adjustments for SEMSatorra-Bentler adjustments for SEM
Stata 14 lets you estimate the Satorra-Bentler adjusted model test. In this short video we show you how to specify that Satorra-Bentler scaled chi-squared test that can be used in place of the usual likelihood ratio test when estimating an SEM with nonnormal data. For more information about Satorra-Benter adjustments in Stata, see http://www.stata.com/stata14/sem-satorra-bentler. Copyright 2011-2017 StataCorp LLC. All rights reserved. -
7:04Advancing the Blog: 9 - Django Crispy Forms
Advancing the Blog: 9 - Django Crispy FormsAdvancing the Blog: 9 - Django Crispy Forms
Advancing the Blog: 9 - Django Crispy Forms ** Advancing the Blog ** is an extended look at building a modern blog with the Django Framework while leveraging other technologies such as jQuery, Markdown, Bootstrap, APIs, and more. We will be starting where Try Django 1.9 left off to create a powerful blog ready for the modern era. It is highly recommend to start with Try Django 1.9 before starting this series. Watch Try Django 1.9 here: https://www.youtube.com/playlist?list=PLEsfXFp6DpzQFqfCur9CJ4QnKQTVXUsRy Subscribe to our channel: http://bit.ly/1kxmkzq Generally the topics will include: - Django Project Setup - Class Based Views (& some Function Based Views) - Models, Model Forms, Forms, Form Validation - Integrate Bootstrap front-end framework. - Django Registration Redux for Authentication/Registration - And More Suggest and up-vote project ideas here: http://joincfe.com/suggest/ (please keep out content related to the Build a Django 1.8 Blog series) Premium, in-depth, Django tutorials available here: http://joincfe.com/projects. We are Coding For Entrepreneurs [TeamCFE] and have built an entire library of content to help you master Django and other web technologies to launch real projects faster. Enroll today for as low as $20/month. Subscribe: http://bit.ly/1kxmkzq (shareable subscribe link) What Technology you'll learn in the Build a Django 1.8 Blog series: -- Django Framework (version 1.9): a powerful backend framework used by top sites like Instagram and Pinterest. Django makes it easier to have a powerful web application to use for all types of projects. Django is written in Python (and is one of the most popular Python libraries in the world). Read more here: http://djangoproject.com -- Bootstrap (version 3.3): a powerful front-end framework used by thousands of sites around the world. Bootstrap makes it easier to have a responsive web application so it looks awesome on any mobile device and any desktop computer. -- Python: One of the top programming languages in the world. Powerful enough for the experts, easy enough for beginners. Why? It uses spaces and line breaks with minimal special characters (like !@#$;*) which means it's closer to English than most programming languages. Learn more: http://python.org All of our tutorials have a simple goal in mind: get you building something real and quickly. -
6:31Machine Learning :: Model Selection & Cross Validation
Machine Learning :: Model Selection & Cross ValidationMachine Learning :: Model Selection & Cross Validation
A brief tutorial on how to use the technique of Cross Validation to estimate machine learning algorithm's performance and to choose between different models. -
11:42Two-step Cluster Analysis in SPSS
Two-step Cluster Analysis in SPSS -
14:21ANOVA with Bonferroni Correction (Bonferroni Post Hoc Test) in SPSS
ANOVA with Bonferroni Correction (Bonferroni Post Hoc Test) in SPSSANOVA with Bonferroni Correction (Bonferroni Post Hoc Test) in SPSS
This video demonstrates how to conduct an ANOVA with a Bonferroni correction (Bonferroni post hoc test) in SPSS. Two different methods of conducting a Bonferroni correction are reviewed. This correction reduces the Type I Error rate when testing multiple hypotheses. -
4:515 MIN TUTORIAL - Responsive Web Design - SIMPLE EASY
5 MIN TUTORIAL - Responsive Web Design - SIMPLE EASY5 MIN TUTORIAL - Responsive Web Design - SIMPLE EASY
Facebook: https://www.facebook.com/OfficialTomHeylen RESPONSIVE WEB DESIGN TUTORIAL FOR BEGINNERS – MOBILE WEBDESIGN - HTML5 css3 Please have a look at my webpage where you can find extra information and download the pdf version. http://tomtomheylen.com/categories/Responsive_web_design/Responsive_web_design_part_1.php Exercise file http://tomtomheylen.com/download_file.php?file=responsive1_final&extention;=html NEXT VIDEO – responsive images, videos, menus, backgrounds and hiding elements http://www.youtube.com/watch?v=1hTkEV43P_Q IN THIS VIDEO YOU WILL LEARN How to make a responsive webpage using HTML and css The difference between a mobile website and a responsive website and why not to use the mobile version. You should have a basic understanding of html and css in order to follow along this video. I got really confused when starting to look into the topic of mobile devices, responsive web design and mobile sites. This video will save you the time and hassles. RESPONSIVE WEBDESIGN vs MOBILE VERSION A responsive website is one website that resizes all the way to fit the screen of the user's device Whereas a mobile version is a different website usually starting with m-dot Why not to use the m-dot version. Responsive web design doesn't require a separate website You only have to maintain one website that looks good on any device. m.dot websites can create errors when sharing url's, as they will be opened on desktop and mobile devices. When errors, Search engines will punish your site in ranking lower And the list goes on. HTML & CSS FOR RESIZABLE WEB DESIGN You can download the exercise file in the link below. http://tomtomheylen.com/download_file.php?file=responsive1_final&extention;=html A good way to build your website is by making your html tags fluid. It is very easy to do by using percentage in your css. For this example we are making a head, menu, the content body and a footer, centered in the web browser. You only have to give the elements a min-height and a marging left and right. With min-height, the elements can increase if needed, Margin left and right are expressed in percentige to keep proportion for any screen resolution. And same thing for margin-top and bottom. You can play around with this figures to fit your needs. So here we have a responsive website!!! When I view this website on a mobile device however, it shows the website in full resolution and I have to zoom-in and out to navigate . Here is where the Viewport Meta Tag comes into play... The viewport metatag was Apple's solution to the problem and was quickly adopted by other platforms. But was never pud forward by the W3C. Therefor we will define a similar viewport rule in our css. And another one as a fix for internet explorer. The width adjusts the site to the device in normal view and landscape view. And zoom or initial 1 stands for no zooming. There are a whole bunch of viewport properties to use for every single device But to make it easy, we only use a few to fit all. I leave you a link as a reference. viewport reference: https://developer.mozilla.org/en/docs/Mozilla/Mobile/Viewport_meta_tag When we view our webpage on a mobile device now, it looks the way we want. NEXT VIDEO http://www.youtube.com/watch?v=1hTkEV43P_Q In the next video you will learn how to make responsive navigation menus, responsive images and videos, responsive backgrounds and how to hide elements. Did you like this video? Subscribe to my channel and share! http://www.youtube.com/subscribe_widget?p=tomtomheylen1 Resources: http://searchenginewatch.com/article/2208496/72-of-Consumers-Want-Mobile-Friendly-Sites-Google-Research http://blog.hubspot.com/marketing/google-hates-your-mobile-optimized-website-ht http://webdesign.tutsplus.com/articles/quick-tip-dont-forget-the-viewport-meta-tag--webdesign-5972 https://developer.mozilla.org/en/docs/Mozilla/Mobile/Viewport_meta_tag -
5:55Common Method Bias
Common Method Bias -
10:07Model fit during a Confirmatory Factor Analysis (CFA) in AMOS
Model fit during a Confirmatory Factor Analysis (CFA) in AMOSModel fit during a Confirmatory Factor Analysis (CFA) in AMOS
This is a model fit exercise during a CFA in AMOS. I demonstrate how to build a good looking model, and then I address model fit issues, including modification indices and standardized residual covariances. I also discuss briefly the thresholds for goodness of fit measures. For a reference, you can use: Litze Hu & Peter M. Bentler (1999) Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives, Structural Equation Modeling: A Multidisciplinary Journal, 6:1, 1-55 -
12:34How to Use SPSS- Receiver Operating Characteristics (ROC) Curve Part 1
How to Use SPSS- Receiver Operating Characteristics (ROC) Curve Part 1How to Use SPSS- Receiver Operating Characteristics (ROC) Curve Part 1
Determing the accuracy of a diagnostic-evaluative test in predicting a dichotomous outcome. For methods to determine a cut-off score for the diagnosis of the outcome, please see ROC Curve Part 2 (http://www.youtube.com/watch?v=WO8Re7YqnP0). The following resource can be used to determine sample sizes for ROC analysis: Hanley JA, & McNeil BJ. (1982). The meaning and use of the area under a receiver operating characteristic (ROC) curve. Radiology. 143(1), 29-36. -
10:30Forecasting - Simple moving average - Example 1
Forecasting - Simple moving average - Example 1Forecasting - Simple moving average - Example 1
In this video, you will learn how to find out the 3 month and 4 monthly moving average for demand forecasting. -
45:01How to Use SPSS-Replacing Missing Data Using Multiple Imputation (Regression Method)
How to Use SPSS-Replacing Missing Data Using Multiple Imputation (Regression Method)How to Use SPSS-Replacing Missing Data Using Multiple Imputation (Regression Method)
Technique for replacing missing data using the regression method. Appropriate for data that may be missing randomly or non-randomly. Also appropriate for data that will be used in inferential analysis. Determining randomness of missing data can be confirmed with Little's MCAR Test (http://youtu.be/6ybgVTabJ6s). Resources: FAQ- http://sites.stat.psu.edu/~jls/mifaq.html Schafer, Joseph L. "Multiple imputation: a primer." Statistical methods in medical research 8.1 (1999): 3-15. Sterne, Jonathan AC, et al. "Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls." BMJ: British Medical Journal 338 (2009). McKnight, Patrick E., Katherine M. McKnight, and Aurelio Jose Figueredo. Missing data: A gentle introduction. Guilford Press, 2007. Haukoos, Jason S., and Craig D. Newgard. "Advanced statistics: missing data in clinical research—part 1: an introduction and conceptual framework." Academic Emergency Medicine 14.7 (2007): 662-668. Newgard, Craig D., and Jason S. Haukoos. "Advanced statistics: missing data in clinical research—part 2: multiple imputation." Academic Emergency Medicine 14.7 (2007): 669-678. -
7:40SPSS Tutorials: Binary Logistic Regression
SPSS Tutorials: Binary Logistic RegressionSPSS Tutorials: Binary Logistic Regression
SPSS Tutorials: Binary Logistic Regression is part of the Departmental of Methodology Software tutorials sponsored by a grant from the LSE Annual Fund. For more information on the Departmental of Methodology visit www.lse.ac.uk/methodologyInstitute or follow us on twitter.com/MethodologyLSE LSE Annual Fund webpage http://www.alumni.lse.ac.uk/olc/pub/LHE/filemanager/annualfund/default.htm -
13:08Finding and Removing Outliers with R Software - Missing Data, Cleaning Up Data
Finding and Removing Outliers with R Software - Missing Data, Cleaning Up DataFinding and Removing Outliers with R Software - Missing Data, Cleaning Up Data
R Statistics Basics Continued: Cleaning up your data via the "subset(...)" function. One way to remove outliers in R (a rather visual, qualitative way). Removing missing data (NAs, NaNs). More R Ssoftware and Econometrics Videos: http://sites.google.com/site/curtiskephart/ta/econ113 ------Video----Outline-------- Cleaning Up Your Data 2:11 Looking for outliers and non-numeric values -• str(...) -• summary(...) -• hist(...) 4:35 Dealing with outliers -• Do you really want to remove these? -• subset(...) 8:08 Dealing with non-numeric values (NAs or NaNs). -• Summary Stats with NAs -• Removing NAs ----------------------------------- References: - R Code from this Video: http://sites.google.com/site/curtiskephart/data/Cleaning%20up%20your%20data.R - Download Data from this video: http://sites.google.com/site/curtiskephart/data/nhisdata.txt - Help Loading Data Video: http://youtu.be/VLtazaiYo-c -
5:05Dealing with Unequal Variances and Sample Sizes - SPSS (part 1)
Dealing with Unequal Variances and Sample Sizes - SPSS (part 1)Dealing with Unequal Variances and Sample Sizes - SPSS (part 1)
SPSS provides a correction to the t-test in cases where there are unequal variances. However, when one has unequal variances and unequal sample sizes, this correction is no longer accurate. In this video, I demonstrate a simple approach to dealing with the problem of unequal variances and sample sizes. -
7:19Weighted least squares regression using SPSS
Weighted least squares regression using SPSSWeighted least squares regression using SPSS
Once you have determined that you have violated the assumption of homoskedasticity of prediction errors in the context of OLS regression, then you may need to come up with an alternative strategy for estimating regression parameters - and most importantly, the standard errors. Weighted least squares (WLS) is one such option. This video provides a brief illustration of steps for carrying out weighted least squares (WLS) regression in SPSS.
-
Bootstrap Sample Technique in R software
Bootstrap is very simple technique used for small samples. Major takeaways from video are: What?: Resampling with replacement from sample data. Why?: To find std errors without invoking CLT. How?: K times repetitive sampling of size n (observation). When to use?: Most suitable for small sample sizes. Major Advantage: No need to invoke CLT or normality assumption
published: 08 Jul 2015 -
Understanding Confidence Intervals: Statistics Help
This short video gives an explanation of the concept of confidence intervals, with helpful diagrams and examples. Find out more on Statistics Learning Centre: http://statslc.com
published: 27 Mar 2013 -
Heteroscedasticity Adjusted Standard Errors - SPSS (part 1)
http://how2stats.blogspot.com/2011/09/heteroskedasticity-adjusted-standard.html I demonstrate how to estimate accurate standard errors in multiple regression in the presence of heteroscedasticity. To do so, I run a macro developed by Andew F. Hayes which can be found here: http://www.afhayes.com/spss-sas-and-mplus-macros-and-code.html Once the macro has been run (only once), you need to run the following syntax: HCREG dv = "variable_name" /iv = "variable_name1" "variable_name2", etc. /const = 1 /method = 3 /covmat = 1 /test = 1
published: 30 Jun 2011 -
SPSS - Mediation Analysis with PROCESS
Lecturer: Dr. Erin M. Buchanan Missouri State University Spring 2015 Mediation analysis video covering model 4 in the process plug in (Hayes, 2013). Lecture materials and assignment available at statstools.com. http://statstools.com/learn/advanced-statistics/
published: 16 Apr 2015 -
Bootstrap 3 Tutorials - #6 - Modals (Popup Boxes)
In this Bootstrap 3 Tutorial, we will be creating a popup modal which can display text, images, videos or any other HTML element. Bootstrap: http://getbootstrap.com Code: http://www.coders-guide.com/watch?v=56 Website: http://coders-guide.com Twitter: http://twitter.com/coders_guide Facebook: http://goo.gl/DmWtB Google+: http://goo.gl/cGyk8 Donate: http://goo.gl/q3MPw
published: 15 Sep 2013 -
Satorra-Bentler adjustments for SEM
Stata 14 lets you estimate the Satorra-Bentler adjusted model test. In this short video we show you how to specify that Satorra-Bentler scaled chi-squared test that can be used in place of the usual likelihood ratio test when estimating an SEM with nonnormal data. For more information about Satorra-Benter adjustments in Stata, see http://www.stata.com/stata14/sem-satorra-bentler. Copyright 2011-2017 StataCorp LLC. All rights reserved.
published: 07 Apr 2015 -
Advancing the Blog: 9 - Django Crispy Forms
Advancing the Blog: 9 - Django Crispy Forms ** Advancing the Blog ** is an extended look at building a modern blog with the Django Framework while leveraging other technologies such as jQuery, Markdown, Bootstrap, APIs, and more. We will be starting where Try Django 1.9 left off to create a powerful blog ready for the modern era. It is highly recommend to start with Try Django 1.9 before starting this series. Watch Try Django 1.9 here: https://www.youtube.com/playlist?list=PLEsfXFp6DpzQFqfCur9CJ4QnKQTVXUsRy Subscribe to our channel: http://bit.ly/1kxmkzq Generally the topics will include: - Django Project Setup - Class Based Views (& some Function Based Views) - Models, Model Forms, Forms, Form Validation - Integrate Bootstrap front-end framework. - Django Registration Redux for Au...
published: 24 Mar 2016 -
Machine Learning :: Model Selection & Cross Validation
A brief tutorial on how to use the technique of Cross Validation to estimate machine learning algorithm's performance and to choose between different models.
published: 19 Jan 2012 -
-
ANOVA with Bonferroni Correction (Bonferroni Post Hoc Test) in SPSS
This video demonstrates how to conduct an ANOVA with a Bonferroni correction (Bonferroni post hoc test) in SPSS. Two different methods of conducting a Bonferroni correction are reviewed. This correction reduces the Type I Error rate when testing multiple hypotheses.
published: 10 Nov 2015 -
5 MIN TUTORIAL - Responsive Web Design - SIMPLE EASY
Facebook: https://www.facebook.com/OfficialTomHeylen RESPONSIVE WEB DESIGN TUTORIAL FOR BEGINNERS – MOBILE WEBDESIGN - HTML5 css3 Please have a look at my webpage where you can find extra information and download the pdf version. http://tomtomheylen.com/categories/Responsive_web_design/Responsive_web_design_part_1.php Exercise file http://tomtomheylen.com/download_file.php?file=responsive1_final&extention;=html NEXT VIDEO – responsive images, videos, menus, backgrounds and hiding elements http://www.youtube.com/watch?v=1hTkEV43P_Q IN THIS VIDEO YOU WILL LEARN How to make a responsive webpage using HTML and css The difference between a mobile website and a responsive website and why not to use the mobile version. You should have a basic understanding of html and css in order to fo...
published: 07 Oct 2014 -
-
Model fit during a Confirmatory Factor Analysis (CFA) in AMOS
This is a model fit exercise during a CFA in AMOS. I demonstrate how to build a good looking model, and then I address model fit issues, including modification indices and standardized residual covariances. I also discuss briefly the thresholds for goodness of fit measures. For a reference, you can use: Litze Hu & Peter M. Bentler (1999) Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives, Structural Equation Modeling: A Multidisciplinary Journal, 6:1, 1-55
published: 25 Mar 2011 -
How to Use SPSS- Receiver Operating Characteristics (ROC) Curve Part 1
Determing the accuracy of a diagnostic-evaluative test in predicting a dichotomous outcome. For methods to determine a cut-off score for the diagnosis of the outcome, please see ROC Curve Part 2 (http://www.youtube.com/watch?v=WO8Re7YqnP0). The following resource can be used to determine sample sizes for ROC analysis: Hanley JA, & McNeil BJ. (1982). The meaning and use of the area under a receiver operating characteristic (ROC) curve. Radiology. 143(1), 29-36.
published: 14 May 2013 -
Forecasting - Simple moving average - Example 1
In this video, you will learn how to find out the 3 month and 4 monthly moving average for demand forecasting.
published: 21 Feb 2014 -
How to Use SPSS-Replacing Missing Data Using Multiple Imputation (Regression Method)
Technique for replacing missing data using the regression method. Appropriate for data that may be missing randomly or non-randomly. Also appropriate for data that will be used in inferential analysis. Determining randomness of missing data can be confirmed with Little's MCAR Test (http://youtu.be/6ybgVTabJ6s). Resources: FAQ- http://sites.stat.psu.edu/~jls/mifaq.html Schafer, Joseph L. "Multiple imputation: a primer." Statistical methods in medical research 8.1 (1999): 3-15. Sterne, Jonathan AC, et al. "Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls." BMJ: British Medical Journal 338 (2009). McKnight, Patrick E., Katherine M. McKnight, and Aurelio Jose Figueredo. Missing data: A gentle introduction. Guilford Press, 2007. Haukoo...
published: 28 Mar 2013 -
SPSS Tutorials: Binary Logistic Regression
SPSS Tutorials: Binary Logistic Regression is part of the Departmental of Methodology Software tutorials sponsored by a grant from the LSE Annual Fund. For more information on the Departmental of Methodology visit www.lse.ac.uk/methodologyInstitute or follow us on twitter.com/MethodologyLSE LSE Annual Fund webpage http://www.alumni.lse.ac.uk/olc/pub/LHE/filemanager/annualfund/default.htm
published: 03 Jul 2012 -
Finding and Removing Outliers with R Software - Missing Data, Cleaning Up Data
R Statistics Basics Continued: Cleaning up your data via the "subset(...)" function. One way to remove outliers in R (a rather visual, qualitative way). Removing missing data (NAs, NaNs). More R Ssoftware and Econometrics Videos: http://sites.google.com/site/curtiskephart/ta/econ113 ------Video----Outline-------- Cleaning Up Your Data 2:11 Looking for outliers and non-numeric values -• str(...) -• summary(...) -• hist(...) 4:35 Dealing with outliers -• Do you really want to remove these? -• subset(...) 8:08 Dealing with non-numeric values (NAs or NaNs). -• Summary Stats with NAs -• Removing NAs ----------------------------------- References: - R Code from this Video: http://sites.google.com/site/curtiskephart/data/Cleaning%20up%20your%20data.R - Download Data f...
published: 29 Apr 2012 -
Dealing with Unequal Variances and Sample Sizes - SPSS (part 1)
SPSS provides a correction to the t-test in cases where there are unequal variances. However, when one has unequal variances and unequal sample sizes, this correction is no longer accurate. In this video, I demonstrate a simple approach to dealing with the problem of unequal variances and sample sizes.
published: 28 Jan 2012 -
Weighted least squares regression using SPSS
Once you have determined that you have violated the assumption of homoskedasticity of prediction errors in the context of OLS regression, then you may need to come up with an alternative strategy for estimating regression parameters - and most importantly, the standard errors. Weighted least squares (WLS) is one such option. This video provides a brief illustration of steps for carrying out weighted least squares (WLS) regression in SPSS.
published: 19 Nov 2015
Bootstrap Sample Technique in R software
- Order: Reorder
- Duration: 8:40
- Updated: 08 Jul 2015
- views: 7495
Bootstrap is very simple technique used for small samples. Major takeaways from video are:
What?: Resampling with replacement from sample data.
Why?: To find st...
Bootstrap is very simple technique used for small samples. Major takeaways from video are:
What?: Resampling with replacement from sample data.
Why?: To find std errors without invoking CLT.
How?: K times repetitive sampling of size n (observation).
When to use?: Most suitable for small sample sizes.
Major Advantage: No need to invoke CLT or normality assumption
https://wn.com/Bootstrap_Sample_Technique_In_R_Software
Bootstrap is very simple technique used for small samples. Major takeaways from video are:
What?: Resampling with replacement from sample data.
Why?: To find std errors without invoking CLT.
How?: K times repetitive sampling of size n (observation).
When to use?: Most suitable for small sample sizes.
Major Advantage: No need to invoke CLT or normality assumption
- published: 08 Jul 2015
- views: 7495
Understanding Confidence Intervals: Statistics Help
- Order: Reorder
- Duration: 4:03
- Updated: 27 Mar 2013
- views: 447895
This short video gives an explanation of the concept of confidence intervals, with helpful diagrams and examples.
Find out more on Statistics Learning Centre: ...
This short video gives an explanation of the concept of confidence intervals, with helpful diagrams and examples.
Find out more on Statistics Learning Centre: http://statslc.com
https://wn.com/Understanding_Confidence_Intervals_Statistics_Help
This short video gives an explanation of the concept of confidence intervals, with helpful diagrams and examples.
Find out more on Statistics Learning Centre: http://statslc.com
- published: 27 Mar 2013
- views: 447895
Heteroscedasticity Adjusted Standard Errors - SPSS (part 1)
- Order: Reorder
- Duration: 5:06
- Updated: 30 Jun 2011
- views: 17357
http://how2stats.blogspot.com/2011/09/heteroskedasticity-adjusted-standard.html
I demonstrate how to estimate accurate standard errors in multiple regression i...
http://how2stats.blogspot.com/2011/09/heteroskedasticity-adjusted-standard.html
I demonstrate how to estimate accurate standard errors in multiple regression in the presence of heteroscedasticity. To do so, I run a macro developed by Andew F. Hayes which can be found here:
http://www.afhayes.com/spss-sas-and-mplus-macros-and-code.html
Once the macro has been run (only once), you need to run the following syntax:
HCREG dv = "variable_name"
/iv = "variable_name1" "variable_name2", etc.
/const = 1
/method = 3
/covmat = 1
/test = 1
https://wn.com/Heteroscedasticity_Adjusted_Standard_Errors_Spss_(Part_1)
http://how2stats.blogspot.com/2011/09/heteroskedasticity-adjusted-standard.html
I demonstrate how to estimate accurate standard errors in multiple regression in the presence of heteroscedasticity. To do so, I run a macro developed by Andew F. Hayes which can be found here:
http://www.afhayes.com/spss-sas-and-mplus-macros-and-code.html
Once the macro has been run (only once), you need to run the following syntax:
HCREG dv = "variable_name"
/iv = "variable_name1" "variable_name2", etc.
/const = 1
/method = 3
/covmat = 1
/test = 1
- published: 30 Jun 2011
- views: 17357
SPSS - Mediation Analysis with PROCESS
- Order: Reorder
- Duration: 37:21
- Updated: 16 Apr 2015
- views: 58704
Lecturer: Dr. Erin M. Buchanan
Missouri State University
Spring 2015
Mediation analysis video covering model 4 in the process plug in (Hayes, 2013).
Lecture m...
Lecturer: Dr. Erin M. Buchanan
Missouri State University
Spring 2015
Mediation analysis video covering model 4 in the process plug in (Hayes, 2013).
Lecture materials and assignment available at statstools.com.
http://statstools.com/learn/advanced-statistics/
https://wn.com/Spss_Mediation_Analysis_With_Process
Lecturer: Dr. Erin M. Buchanan
Missouri State University
Spring 2015
Mediation analysis video covering model 4 in the process plug in (Hayes, 2013).
Lecture materials and assignment available at statstools.com.
http://statstools.com/learn/advanced-statistics/
- published: 16 Apr 2015
- views: 58704
Bootstrap 3 Tutorials - #6 - Modals (Popup Boxes)
- Order: Reorder
- Duration: 7:38
- Updated: 15 Sep 2013
- views: 153089
In this Bootstrap 3 Tutorial, we will be creating a popup modal which can display text, images, videos or any other HTML element.
Bootstrap: http://getbootstra...
In this Bootstrap 3 Tutorial, we will be creating a popup modal which can display text, images, videos or any other HTML element.
Bootstrap: http://getbootstrap.com
Code: http://www.coders-guide.com/watch?v=56
Website: http://coders-guide.com
Twitter: http://twitter.com/coders_guide
Facebook: http://goo.gl/DmWtB
Google+: http://goo.gl/cGyk8
Donate: http://goo.gl/q3MPw
https://wn.com/Bootstrap_3_Tutorials_6_Modals_(Popup_Boxes)
In this Bootstrap 3 Tutorial, we will be creating a popup modal which can display text, images, videos or any other HTML element.
Bootstrap: http://getbootstrap.com
Code: http://www.coders-guide.com/watch?v=56
Website: http://coders-guide.com
Twitter: http://twitter.com/coders_guide
Facebook: http://goo.gl/DmWtB
Google+: http://goo.gl/cGyk8
Donate: http://goo.gl/q3MPw
- published: 15 Sep 2013
- views: 153089
Satorra-Bentler adjustments for SEM
- Order: Reorder
- Duration: 1:16
- Updated: 07 Apr 2015
- views: 2815
Stata 14 lets you estimate the Satorra-Bentler adjusted model test. In this short video we show you how to specify that Satorra-Bentler scaled chi-squared test...
Stata 14 lets you estimate the Satorra-Bentler adjusted model test. In this short video we show you how to specify that Satorra-Bentler scaled chi-squared test that can be used in place of the usual likelihood ratio test when estimating an SEM with nonnormal data.
For more information about Satorra-Benter adjustments in Stata, see http://www.stata.com/stata14/sem-satorra-bentler. Copyright 2011-2017 StataCorp LLC. All rights reserved.
https://wn.com/Satorra_Bentler_Adjustments_For_Sem
Stata 14 lets you estimate the Satorra-Bentler adjusted model test. In this short video we show you how to specify that Satorra-Bentler scaled chi-squared test that can be used in place of the usual likelihood ratio test when estimating an SEM with nonnormal data.
For more information about Satorra-Benter adjustments in Stata, see http://www.stata.com/stata14/sem-satorra-bentler. Copyright 2011-2017 StataCorp LLC. All rights reserved.
- published: 07 Apr 2015
- views: 2815
Advancing the Blog: 9 - Django Crispy Forms
- Order: Reorder
- Duration: 7:04
- Updated: 24 Mar 2016
- views: 8122
Advancing the Blog: 9 - Django Crispy Forms
** Advancing the Blog ** is an extended look at building a modern blog with the Django Framework while leveraging o...
Advancing the Blog: 9 - Django Crispy Forms
** Advancing the Blog ** is an extended look at building a modern blog with the Django Framework while leveraging other technologies such as jQuery, Markdown, Bootstrap, APIs, and more.
We will be starting where Try Django 1.9 left off to create a powerful blog ready for the modern era. It is highly recommend to start with Try Django 1.9 before starting this series.
Watch Try Django 1.9 here: https://www.youtube.com/playlist?list=PLEsfXFp6DpzQFqfCur9CJ4QnKQTVXUsRy
Subscribe to our channel: http://bit.ly/1kxmkzq
Generally the topics will include:
- Django Project Setup
- Class Based Views (& some Function Based Views)
- Models, Model Forms, Forms, Form Validation
- Integrate Bootstrap front-end framework.
- Django Registration Redux for Authentication/Registration
- And More
Suggest and up-vote project ideas here: http://joincfe.com/suggest/ (please keep out content related to the Build a Django 1.8 Blog series)
Premium, in-depth, Django tutorials available here: http://joincfe.com/projects.
We are Coding For Entrepreneurs [TeamCFE] and have built an entire library of content to help you master Django and other web technologies to launch real projects faster. Enroll today for as low as $20/month.
Subscribe: http://bit.ly/1kxmkzq (shareable subscribe link)
What Technology you'll learn in the Build a Django 1.8 Blog series:
-- Django Framework (version 1.9): a powerful backend framework used by top sites like Instagram and Pinterest. Django makes it easier to have a powerful web application to use for all types of projects. Django is written in Python (and is one of the most popular Python libraries in the world). Read more here: http://djangoproject.com
-- Bootstrap (version 3.3): a powerful front-end framework used by thousands of sites around the world. Bootstrap makes it easier to have a responsive web application so it looks awesome on any mobile device and any desktop computer.
-- Python: One of the top programming languages in the world. Powerful enough for the experts, easy enough for beginners. Why? It uses spaces and line breaks with minimal special characters (like !@#$;*) which means it's closer to English than most programming languages. Learn more: http://python.org
All of our tutorials have a simple goal in mind: get you building something real and quickly.
https://wn.com/Advancing_The_Blog_9_Django_Crispy_Forms
Advancing the Blog: 9 - Django Crispy Forms
** Advancing the Blog ** is an extended look at building a modern blog with the Django Framework while leveraging other technologies such as jQuery, Markdown, Bootstrap, APIs, and more.
We will be starting where Try Django 1.9 left off to create a powerful blog ready for the modern era. It is highly recommend to start with Try Django 1.9 before starting this series.
Watch Try Django 1.9 here: https://www.youtube.com/playlist?list=PLEsfXFp6DpzQFqfCur9CJ4QnKQTVXUsRy
Subscribe to our channel: http://bit.ly/1kxmkzq
Generally the topics will include:
- Django Project Setup
- Class Based Views (& some Function Based Views)
- Models, Model Forms, Forms, Form Validation
- Integrate Bootstrap front-end framework.
- Django Registration Redux for Authentication/Registration
- And More
Suggest and up-vote project ideas here: http://joincfe.com/suggest/ (please keep out content related to the Build a Django 1.8 Blog series)
Premium, in-depth, Django tutorials available here: http://joincfe.com/projects.
We are Coding For Entrepreneurs [TeamCFE] and have built an entire library of content to help you master Django and other web technologies to launch real projects faster. Enroll today for as low as $20/month.
Subscribe: http://bit.ly/1kxmkzq (shareable subscribe link)
What Technology you'll learn in the Build a Django 1.8 Blog series:
-- Django Framework (version 1.9): a powerful backend framework used by top sites like Instagram and Pinterest. Django makes it easier to have a powerful web application to use for all types of projects. Django is written in Python (and is one of the most popular Python libraries in the world). Read more here: http://djangoproject.com
-- Bootstrap (version 3.3): a powerful front-end framework used by thousands of sites around the world. Bootstrap makes it easier to have a responsive web application so it looks awesome on any mobile device and any desktop computer.
-- Python: One of the top programming languages in the world. Powerful enough for the experts, easy enough for beginners. Why? It uses spaces and line breaks with minimal special characters (like !@#$;*) which means it's closer to English than most programming languages. Learn more: http://python.org
All of our tutorials have a simple goal in mind: get you building something real and quickly.
- published: 24 Mar 2016
- views: 8122
Machine Learning :: Model Selection & Cross Validation
- Order: Reorder
- Duration: 6:31
- Updated: 19 Jan 2012
- views: 21583
A brief tutorial on how to use the technique of Cross Validation to estimate machine learning algorithm's performance and to choose between different models.
A brief tutorial on how to use the technique of Cross Validation to estimate machine learning algorithm's performance and to choose between different models.
https://wn.com/Machine_Learning_Model_Selection_Cross_Validation
A brief tutorial on how to use the technique of Cross Validation to estimate machine learning algorithm's performance and to choose between different models.
- published: 19 Jan 2012
- views: 21583
Two-step Cluster Analysis in SPSS
- Order: Reorder
- Duration: 11:42
- Updated: 20 Mar 2012
- views: 124736
This is a two-step cluster analysis using SPSS. I do this to demonstrate how to explore profiles of responses. These profiles can then be used as a moderator in...
This is a two-step cluster analysis using SPSS. I do this to demonstrate how to explore profiles of responses. These profiles can then be used as a moderator in SEM analyses.
https://wn.com/Two_Step_Cluster_Analysis_In_Spss
ANOVA with Bonferroni Correction (Bonferroni Post Hoc Test) in SPSS
- Order: Reorder
- Duration: 14:21
- Updated: 10 Nov 2015
- views: 22629
This video demonstrates how to conduct an ANOVA with a Bonferroni correction (Bonferroni post hoc test) in SPSS. Two different methods of conducting a Bonferron...
This video demonstrates how to conduct an ANOVA with a Bonferroni correction (Bonferroni post hoc test) in SPSS. Two different methods of conducting a Bonferroni correction are reviewed. This correction reduces the Type I Error rate when testing multiple hypotheses.
https://wn.com/Anova_With_Bonferroni_Correction_(Bonferroni_Post_Hoc_Test)_In_Spss
This video demonstrates how to conduct an ANOVA with a Bonferroni correction (Bonferroni post hoc test) in SPSS. Two different methods of conducting a Bonferroni correction are reviewed. This correction reduces the Type I Error rate when testing multiple hypotheses.
- published: 10 Nov 2015
- views: 22629
5 MIN TUTORIAL - Responsive Web Design - SIMPLE EASY
- Order: Reorder
- Duration: 4:51
- Updated: 07 Oct 2014
- views: 27552
Facebook: https://www.facebook.com/OfficialTomHeylen
RESPONSIVE WEB DESIGN TUTORIAL FOR BEGINNERS – MOBILE WEBDESIGN - HTML5 css3
Please have a look at my web...
Facebook: https://www.facebook.com/OfficialTomHeylen
RESPONSIVE WEB DESIGN TUTORIAL FOR BEGINNERS – MOBILE WEBDESIGN - HTML5 css3
Please have a look at my webpage where you can find extra information and
download the pdf version.
http://tomtomheylen.com/categories/Responsive_web_design/Responsive_web_design_part_1.php
Exercise file
http://tomtomheylen.com/download_file.php?file=responsive1_final&extention;=html
NEXT VIDEO – responsive images, videos, menus, backgrounds and hiding elements
http://www.youtube.com/watch?v=1hTkEV43P_Q
IN THIS VIDEO YOU WILL LEARN
How to make a responsive webpage using HTML and css
The difference between a mobile website and a responsive website and why not to use the mobile version.
You should have a basic understanding of html and css in order to follow along this video.
I got really confused when starting to look into the topic of mobile devices, responsive web design and mobile sites.
This video will save you the time and hassles.
RESPONSIVE WEBDESIGN vs MOBILE VERSION
A responsive website is one website that resizes all the way to fit the screen of the user's device
Whereas a mobile version is a different website usually starting with m-dot
Why not to use the m-dot version.
Responsive web design doesn't require a separate website
You only have to maintain one website that looks good on any device.
m.dot websites can create errors when sharing url's, as they will be opened on desktop and mobile devices.
When errors, Search engines will punish your site in ranking lower
And the list goes on.
HTML & CSS FOR RESIZABLE WEB DESIGN
You can download the exercise file in the link below.
http://tomtomheylen.com/download_file.php?file=responsive1_final&extention;=html
A good way to build your website is by making your html tags fluid.
It is very easy to do by using percentage in your css.
For this example we are making a head, menu, the content body and a footer, centered in the web browser.
You only have to give the elements a min-height and a marging left and right.
With min-height, the elements can increase if needed,
Margin left and right are expressed in percentige to keep proportion for any screen resolution.
And same thing for margin-top and bottom.
You can play around with this figures to fit your needs.
So here we have a responsive website!!!
When I view this website on a mobile device however, it shows the website in full resolution and I have to zoom-in and out to navigate
.
Here is where the Viewport Meta Tag comes into play...
The viewport metatag was Apple's solution to the problem and was quickly adopted by other platforms. But was never pud forward by the W3C.
Therefor we will define a similar viewport rule in our css.
And another one as a fix for internet explorer.
The width adjusts the site to the device in normal view and landscape view.
And zoom or initial 1 stands for no zooming.
There are a whole bunch of viewport properties to use for every single device
But to make it easy, we only use a few to fit all.
I leave you a link as a reference.
viewport reference:
https://developer.mozilla.org/en/docs/Mozilla/Mobile/Viewport_meta_tag
When we view our webpage on a mobile device now, it looks the way we want.
NEXT VIDEO
http://www.youtube.com/watch?v=1hTkEV43P_Q
In the next video you will learn how to make
responsive navigation menus,
responsive images and videos,
responsive backgrounds
and how to hide elements.
Did you like this video?
Subscribe to my channel and share!
http://www.youtube.com/subscribe_widget?p=tomtomheylen1
Resources:
http://searchenginewatch.com/article/2208496/72-of-Consumers-Want-Mobile-Friendly-Sites-Google-Research
http://blog.hubspot.com/marketing/google-hates-your-mobile-optimized-website-ht
http://webdesign.tutsplus.com/articles/quick-tip-dont-forget-the-viewport-meta-tag--webdesign-5972
https://developer.mozilla.org/en/docs/Mozilla/Mobile/Viewport_meta_tag
https://wn.com/5_Min_Tutorial_Responsive_Web_Design_Simple_Easy
Facebook: https://www.facebook.com/OfficialTomHeylen
RESPONSIVE WEB DESIGN TUTORIAL FOR BEGINNERS – MOBILE WEBDESIGN - HTML5 css3
Please have a look at my webpage where you can find extra information and
download the pdf version.
http://tomtomheylen.com/categories/Responsive_web_design/Responsive_web_design_part_1.php
Exercise file
http://tomtomheylen.com/download_file.php?file=responsive1_final&extention;=html
NEXT VIDEO – responsive images, videos, menus, backgrounds and hiding elements
http://www.youtube.com/watch?v=1hTkEV43P_Q
IN THIS VIDEO YOU WILL LEARN
How to make a responsive webpage using HTML and css
The difference between a mobile website and a responsive website and why not to use the mobile version.
You should have a basic understanding of html and css in order to follow along this video.
I got really confused when starting to look into the topic of mobile devices, responsive web design and mobile sites.
This video will save you the time and hassles.
RESPONSIVE WEBDESIGN vs MOBILE VERSION
A responsive website is one website that resizes all the way to fit the screen of the user's device
Whereas a mobile version is a different website usually starting with m-dot
Why not to use the m-dot version.
Responsive web design doesn't require a separate website
You only have to maintain one website that looks good on any device.
m.dot websites can create errors when sharing url's, as they will be opened on desktop and mobile devices.
When errors, Search engines will punish your site in ranking lower
And the list goes on.
HTML & CSS FOR RESIZABLE WEB DESIGN
You can download the exercise file in the link below.
http://tomtomheylen.com/download_file.php?file=responsive1_final&extention;=html
A good way to build your website is by making your html tags fluid.
It is very easy to do by using percentage in your css.
For this example we are making a head, menu, the content body and a footer, centered in the web browser.
You only have to give the elements a min-height and a marging left and right.
With min-height, the elements can increase if needed,
Margin left and right are expressed in percentige to keep proportion for any screen resolution.
And same thing for margin-top and bottom.
You can play around with this figures to fit your needs.
So here we have a responsive website!!!
When I view this website on a mobile device however, it shows the website in full resolution and I have to zoom-in and out to navigate
.
Here is where the Viewport Meta Tag comes into play...
The viewport metatag was Apple's solution to the problem and was quickly adopted by other platforms. But was never pud forward by the W3C.
Therefor we will define a similar viewport rule in our css.
And another one as a fix for internet explorer.
The width adjusts the site to the device in normal view and landscape view.
And zoom or initial 1 stands for no zooming.
There are a whole bunch of viewport properties to use for every single device
But to make it easy, we only use a few to fit all.
I leave you a link as a reference.
viewport reference:
https://developer.mozilla.org/en/docs/Mozilla/Mobile/Viewport_meta_tag
When we view our webpage on a mobile device now, it looks the way we want.
NEXT VIDEO
http://www.youtube.com/watch?v=1hTkEV43P_Q
In the next video you will learn how to make
responsive navigation menus,
responsive images and videos,
responsive backgrounds
and how to hide elements.
Did you like this video?
Subscribe to my channel and share!
http://www.youtube.com/subscribe_widget?p=tomtomheylen1
Resources:
http://searchenginewatch.com/article/2208496/72-of-Consumers-Want-Mobile-Friendly-Sites-Google-Research
http://blog.hubspot.com/marketing/google-hates-your-mobile-optimized-website-ht
http://webdesign.tutsplus.com/articles/quick-tip-dont-forget-the-viewport-meta-tag--webdesign-5972
https://developer.mozilla.org/en/docs/Mozilla/Mobile/Viewport_meta_tag
- published: 07 Oct 2014
- views: 27552
Common Method Bias
- Order: Reorder
- Duration: 5:55
- Updated: 25 Mar 2011
- views: 66405
This video takes you through three approaches for detecting common method bias: Harman's single factor test, common latent factor, and marker variable. I use SP...
This video takes you through three approaches for detecting common method bias: Harman's single factor test, common latent factor, and marker variable. I use SPSS and AMOS.
https://wn.com/Common_Method_Bias
Model fit during a Confirmatory Factor Analysis (CFA) in AMOS
- Order: Reorder
- Duration: 10:07
- Updated: 25 Mar 2011
- views: 303972
This is a model fit exercise during a CFA in AMOS. I demonstrate how to build a good looking model, and then I address model fit issues, including modification ...
This is a model fit exercise during a CFA in AMOS. I demonstrate how to build a good looking model, and then I address model fit issues, including modification indices and standardized residual covariances. I also discuss briefly the thresholds for goodness of fit measures. For a reference, you can use:
Litze Hu & Peter M. Bentler (1999) Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives, Structural Equation Modeling: A Multidisciplinary Journal, 6:1, 1-55
https://wn.com/Model_Fit_During_A_Confirmatory_Factor_Analysis_(Cfa)_In_Amos
This is a model fit exercise during a CFA in AMOS. I demonstrate how to build a good looking model, and then I address model fit issues, including modification indices and standardized residual covariances. I also discuss briefly the thresholds for goodness of fit measures. For a reference, you can use:
Litze Hu & Peter M. Bentler (1999) Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives, Structural Equation Modeling: A Multidisciplinary Journal, 6:1, 1-55
- published: 25 Mar 2011
- views: 303972
How to Use SPSS- Receiver Operating Characteristics (ROC) Curve Part 1
- Order: Reorder
- Duration: 12:34
- Updated: 14 May 2013
- views: 98362
Determing the accuracy of a diagnostic-evaluative test in predicting a dichotomous outcome. For methods to determine a cut-off score for the diagnosis of the ou...
Determing the accuracy of a diagnostic-evaluative test in predicting a dichotomous outcome. For methods to determine a cut-off score for the diagnosis of the outcome, please see ROC Curve Part 2 (http://www.youtube.com/watch?v=WO8Re7YqnP0).
The following resource can be used to determine sample sizes for ROC analysis: Hanley JA, & McNeil BJ. (1982). The meaning and use of the area under a receiver operating characteristic (ROC) curve. Radiology. 143(1), 29-36.
https://wn.com/How_To_Use_Spss_Receiver_Operating_Characteristics_(Roc)_Curve_Part_1
Determing the accuracy of a diagnostic-evaluative test in predicting a dichotomous outcome. For methods to determine a cut-off score for the diagnosis of the outcome, please see ROC Curve Part 2 (http://www.youtube.com/watch?v=WO8Re7YqnP0).
The following resource can be used to determine sample sizes for ROC analysis: Hanley JA, & McNeil BJ. (1982). The meaning and use of the area under a receiver operating characteristic (ROC) curve. Radiology. 143(1), 29-36.
- published: 14 May 2013
- views: 98362
Forecasting - Simple moving average - Example 1
- Order: Reorder
- Duration: 10:30
- Updated: 21 Feb 2014
- views: 96815
In this video, you will learn how to find out the 3 month and 4 monthly moving average for demand forecasting.
In this video, you will learn how to find out the 3 month and 4 monthly moving average for demand forecasting.
https://wn.com/Forecasting_Simple_Moving_Average_Example_1
In this video, you will learn how to find out the 3 month and 4 monthly moving average for demand forecasting.
- published: 21 Feb 2014
- views: 96815
How to Use SPSS-Replacing Missing Data Using Multiple Imputation (Regression Method)
- Order: Reorder
- Duration: 45:01
- Updated: 28 Mar 2013
- views: 127478
Technique for replacing missing data using the regression method. Appropriate for data that may be missing randomly or non-randomly. Also appropriate for data t...
Technique for replacing missing data using the regression method. Appropriate for data that may be missing randomly or non-randomly. Also appropriate for data that will be used in inferential analysis. Determining randomness of missing data can be confirmed with Little's MCAR Test (http://youtu.be/6ybgVTabJ6s).
Resources:
FAQ- http://sites.stat.psu.edu/~jls/mifaq.html
Schafer, Joseph L. "Multiple imputation: a primer." Statistical methods in medical research 8.1 (1999): 3-15.
Sterne, Jonathan AC, et al. "Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls." BMJ: British Medical Journal 338 (2009).
McKnight, Patrick E., Katherine M. McKnight, and Aurelio Jose Figueredo. Missing data: A gentle introduction. Guilford Press, 2007.
Haukoos, Jason S., and Craig D. Newgard. "Advanced statistics: missing data in clinical research—part 1: an introduction and conceptual framework." Academic Emergency Medicine 14.7 (2007): 662-668.
Newgard, Craig D., and Jason S. Haukoos. "Advanced statistics: missing data in clinical research—part 2: multiple imputation." Academic Emergency Medicine 14.7 (2007): 669-678.
https://wn.com/How_To_Use_Spss_Replacing_Missing_Data_Using_Multiple_Imputation_(Regression_Method)
Technique for replacing missing data using the regression method. Appropriate for data that may be missing randomly or non-randomly. Also appropriate for data that will be used in inferential analysis. Determining randomness of missing data can be confirmed with Little's MCAR Test (http://youtu.be/6ybgVTabJ6s).
Resources:
FAQ- http://sites.stat.psu.edu/~jls/mifaq.html
Schafer, Joseph L. "Multiple imputation: a primer." Statistical methods in medical research 8.1 (1999): 3-15.
Sterne, Jonathan AC, et al. "Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls." BMJ: British Medical Journal 338 (2009).
McKnight, Patrick E., Katherine M. McKnight, and Aurelio Jose Figueredo. Missing data: A gentle introduction. Guilford Press, 2007.
Haukoos, Jason S., and Craig D. Newgard. "Advanced statistics: missing data in clinical research—part 1: an introduction and conceptual framework." Academic Emergency Medicine 14.7 (2007): 662-668.
Newgard, Craig D., and Jason S. Haukoos. "Advanced statistics: missing data in clinical research—part 2: multiple imputation." Academic Emergency Medicine 14.7 (2007): 669-678.
- published: 28 Mar 2013
- views: 127478
SPSS Tutorials: Binary Logistic Regression
- Order: Reorder
- Duration: 7:40
- Updated: 03 Jul 2012
- views: 148128
SPSS Tutorials: Binary Logistic Regression is part of the Departmental of Methodology Software tutorials sponsored by a grant from the LSE Annual Fund.
For mor...
SPSS Tutorials: Binary Logistic Regression is part of the Departmental of Methodology Software tutorials sponsored by a grant from the LSE Annual Fund.
For more information on the Departmental of Methodology visit www.lse.ac.uk/methodologyInstitute or follow us on twitter.com/MethodologyLSE
LSE Annual Fund webpage http://www.alumni.lse.ac.uk/olc/pub/LHE/filemanager/annualfund/default.htm
https://wn.com/Spss_Tutorials_Binary_Logistic_Regression
SPSS Tutorials: Binary Logistic Regression is part of the Departmental of Methodology Software tutorials sponsored by a grant from the LSE Annual Fund.
For more information on the Departmental of Methodology visit www.lse.ac.uk/methodologyInstitute or follow us on twitter.com/MethodologyLSE
LSE Annual Fund webpage http://www.alumni.lse.ac.uk/olc/pub/LHE/filemanager/annualfund/default.htm
- published: 03 Jul 2012
- views: 148128
Finding and Removing Outliers with R Software - Missing Data, Cleaning Up Data
- Order: Reorder
- Duration: 13:08
- Updated: 29 Apr 2012
- views: 76885
R Statistics Basics Continued: Cleaning up your data via the "subset(...)" function. One way to remove outliers in R (a rather visual, qualitative way). Removin...
R Statistics Basics Continued: Cleaning up your data via the "subset(...)" function. One way to remove outliers in R (a rather visual, qualitative way). Removing missing data (NAs, NaNs).
More R Ssoftware and Econometrics Videos: http://sites.google.com/site/curtiskephart/ta/econ113
------Video----Outline--------
Cleaning Up Your Data
2:11 Looking for outliers and non-numeric values
-• str(...)
-• summary(...)
-• hist(...)
4:35 Dealing with outliers
-• Do you really want to remove these?
-• subset(...)
8:08 Dealing with non-numeric values (NAs or NaNs).
-• Summary Stats with NAs
-• Removing NAs
-----------------------------------
References:
- R Code from this Video: http://sites.google.com/site/curtiskephart/data/Cleaning%20up%20your%20data.R
- Download Data from this video: http://sites.google.com/site/curtiskephart/data/nhisdata.txt
- Help Loading Data Video: http://youtu.be/VLtazaiYo-c
https://wn.com/Finding_And_Removing_Outliers_With_R_Software_Missing_Data,_Cleaning_Up_Data
R Statistics Basics Continued: Cleaning up your data via the "subset(...)" function. One way to remove outliers in R (a rather visual, qualitative way). Removing missing data (NAs, NaNs).
More R Ssoftware and Econometrics Videos: http://sites.google.com/site/curtiskephart/ta/econ113
------Video----Outline--------
Cleaning Up Your Data
2:11 Looking for outliers and non-numeric values
-• str(...)
-• summary(...)
-• hist(...)
4:35 Dealing with outliers
-• Do you really want to remove these?
-• subset(...)
8:08 Dealing with non-numeric values (NAs or NaNs).
-• Summary Stats with NAs
-• Removing NAs
-----------------------------------
References:
- R Code from this Video: http://sites.google.com/site/curtiskephart/data/Cleaning%20up%20your%20data.R
- Download Data from this video: http://sites.google.com/site/curtiskephart/data/nhisdata.txt
- Help Loading Data Video: http://youtu.be/VLtazaiYo-c
- published: 29 Apr 2012
- views: 76885
Dealing with Unequal Variances and Sample Sizes - SPSS (part 1)
- Order: Reorder
- Duration: 5:05
- Updated: 28 Jan 2012
- views: 36977
SPSS provides a correction to the t-test in cases where there are unequal variances. However, when one has unequal variances and unequal sample sizes, this corr...
SPSS provides a correction to the t-test in cases where there are unequal variances. However, when one has unequal variances and unequal sample sizes, this correction is no longer accurate. In this video, I demonstrate a simple approach to dealing with the problem of unequal variances and sample sizes.
https://wn.com/Dealing_With_Unequal_Variances_And_Sample_Sizes_Spss_(Part_1)
SPSS provides a correction to the t-test in cases where there are unequal variances. However, when one has unequal variances and unequal sample sizes, this correction is no longer accurate. In this video, I demonstrate a simple approach to dealing with the problem of unequal variances and sample sizes.
- published: 28 Jan 2012
- views: 36977
Weighted least squares regression using SPSS
- Order: Reorder
- Duration: 7:19
- Updated: 19 Nov 2015
- views: 10148
Once you have determined that you have violated the assumption of homoskedasticity of prediction errors in the context of OLS regression, then you may need to c...
Once you have determined that you have violated the assumption of homoskedasticity of prediction errors in the context of OLS regression, then you may need to come up with an alternative strategy for estimating regression parameters - and most importantly, the standard errors. Weighted least squares (WLS) is one such option. This video provides a brief illustration of steps for carrying out weighted least squares (WLS) regression in SPSS.
https://wn.com/Weighted_Least_Squares_Regression_Using_Spss
Once you have determined that you have violated the assumption of homoskedasticity of prediction errors in the context of OLS regression, then you may need to come up with an alternative strategy for estimating regression parameters - and most importantly, the standard errors. Weighted least squares (WLS) is one such option. This video provides a brief illustration of steps for carrying out weighted least squares (WLS) regression in SPSS.
- published: 19 Nov 2015
- views: 10148
-
Bootstrap Sample Technique in R software
Bootstrap is very simple technique used for small samples. Major takeaways from video are: What?: Resampling with replacement from sample data. Why?: To find std errors without invoking CLT. How?: K times repetitive sampling of size n (observation). When to use?: Most suitable for small sample sizes. Major Advantage: No need to invoke CLT or normality assumption
published: 08 Jul 2015 -
Understanding Confidence Intervals: Statistics Help
This short video gives an explanation of the concept of confidence intervals, with helpful diagrams and examples. Find out more on Statistics Learning Centre: http://statslc.com
published: 27 Mar 2013 -
Heteroscedasticity Adjusted Standard Errors - SPSS (part 1)
http://how2stats.blogspot.com/2011/09/heteroskedasticity-adjusted-standard.html I demonstrate how to estimate accurate standard errors in multiple regression in the presence of heteroscedasticity. To do so, I run a macro developed by Andew F. Hayes which can be found here: http://www.afhayes.com/spss-sas-and-mplus-macros-and-code.html Once the macro has been run (only once), you need to run the following syntax: HCREG dv = "variable_name" /iv = "variable_name1" "variable_name2", etc. /const = 1 /method = 3 /covmat = 1 /test = 1
published: 30 Jun 2011 -
SPSS - Mediation Analysis with PROCESS
Lecturer: Dr. Erin M. Buchanan Missouri State University Spring 2015 Mediation analysis video covering model 4 in the process plug in (Hayes, 2013). Lecture materials and assignment available at statstools.com. http://statstools.com/learn/advanced-statistics/
published: 16 Apr 2015 -
Bootstrap 3 Tutorials - #6 - Modals (Popup Boxes)
In this Bootstrap 3 Tutorial, we will be creating a popup modal which can display text, images, videos or any other HTML element. Bootstrap: http://getbootstrap.com Code: http://www.coders-guide.com/watch?v=56 Website: http://coders-guide.com Twitter: http://twitter.com/coders_guide Facebook: http://goo.gl/DmWtB Google+: http://goo.gl/cGyk8 Donate: http://goo.gl/q3MPw
published: 15 Sep 2013 -
Satorra-Bentler adjustments for SEM
Stata 14 lets you estimate the Satorra-Bentler adjusted model test. In this short video we show you how to specify that Satorra-Bentler scaled chi-squared test that can be used in place of the usual likelihood ratio test when estimating an SEM with nonnormal data. For more information about Satorra-Benter adjustments in Stata, see http://www.stata.com/stata14/sem-satorra-bentler. Copyright 2011-2017 StataCorp LLC. All rights reserved.
published: 07 Apr 2015 -
Advancing the Blog: 9 - Django Crispy Forms
Advancing the Blog: 9 - Django Crispy Forms ** Advancing the Blog ** is an extended look at building a modern blog with the Django Framework while leveraging other technologies such as jQuery, Markdown, Bootstrap, APIs, and more. We will be starting where Try Django 1.9 left off to create a powerful blog ready for the modern era. It is highly recommend to start with Try Django 1.9 before starting this series. Watch Try Django 1.9 here: https://www.youtube.com/playlist?list=PLEsfXFp6DpzQFqfCur9CJ4QnKQTVXUsRy Subscribe to our channel: http://bit.ly/1kxmkzq Generally the topics will include: - Django Project Setup - Class Based Views (& some Function Based Views) - Models, Model Forms, Forms, Form Validation - Integrate Bootstrap front-end framework. - Django Registration Redux for Au...
published: 24 Mar 2016 -
Machine Learning :: Model Selection & Cross Validation
A brief tutorial on how to use the technique of Cross Validation to estimate machine learning algorithm's performance and to choose between different models.
published: 19 Jan 2012 -
-
ANOVA with Bonferroni Correction (Bonferroni Post Hoc Test) in SPSS
This video demonstrates how to conduct an ANOVA with a Bonferroni correction (Bonferroni post hoc test) in SPSS. Two different methods of conducting a Bonferroni correction are reviewed. This correction reduces the Type I Error rate when testing multiple hypotheses.
published: 10 Nov 2015 -
5 MIN TUTORIAL - Responsive Web Design - SIMPLE EASY
Facebook: https://www.facebook.com/OfficialTomHeylen RESPONSIVE WEB DESIGN TUTORIAL FOR BEGINNERS – MOBILE WEBDESIGN - HTML5 css3 Please have a look at my webpage where you can find extra information and download the pdf version. http://tomtomheylen.com/categories/Responsive_web_design/Responsive_web_design_part_1.php Exercise file http://tomtomheylen.com/download_file.php?file=responsive1_final&extention;=html NEXT VIDEO – responsive images, videos, menus, backgrounds and hiding elements http://www.youtube.com/watch?v=1hTkEV43P_Q IN THIS VIDEO YOU WILL LEARN How to make a responsive webpage using HTML and css The difference between a mobile website and a responsive website and why not to use the mobile version. You should have a basic understanding of html and css in order to fo...
published: 07 Oct 2014 -
-
Model fit during a Confirmatory Factor Analysis (CFA) in AMOS
This is a model fit exercise during a CFA in AMOS. I demonstrate how to build a good looking model, and then I address model fit issues, including modification indices and standardized residual covariances. I also discuss briefly the thresholds for goodness of fit measures. For a reference, you can use: Litze Hu & Peter M. Bentler (1999) Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives, Structural Equation Modeling: A Multidisciplinary Journal, 6:1, 1-55
published: 25 Mar 2011 -
How to Use SPSS- Receiver Operating Characteristics (ROC) Curve Part 1
Determing the accuracy of a diagnostic-evaluative test in predicting a dichotomous outcome. For methods to determine a cut-off score for the diagnosis of the outcome, please see ROC Curve Part 2 (http://www.youtube.com/watch?v=WO8Re7YqnP0). The following resource can be used to determine sample sizes for ROC analysis: Hanley JA, & McNeil BJ. (1982). The meaning and use of the area under a receiver operating characteristic (ROC) curve. Radiology. 143(1), 29-36.
published: 14 May 2013 -
Forecasting - Simple moving average - Example 1
In this video, you will learn how to find out the 3 month and 4 monthly moving average for demand forecasting.
published: 21 Feb 2014 -
How to Use SPSS-Replacing Missing Data Using Multiple Imputation (Regression Method)
Technique for replacing missing data using the regression method. Appropriate for data that may be missing randomly or non-randomly. Also appropriate for data that will be used in inferential analysis. Determining randomness of missing data can be confirmed with Little's MCAR Test (http://youtu.be/6ybgVTabJ6s). Resources: FAQ- http://sites.stat.psu.edu/~jls/mifaq.html Schafer, Joseph L. "Multiple imputation: a primer." Statistical methods in medical research 8.1 (1999): 3-15. Sterne, Jonathan AC, et al. "Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls." BMJ: British Medical Journal 338 (2009). McKnight, Patrick E., Katherine M. McKnight, and Aurelio Jose Figueredo. Missing data: A gentle introduction. Guilford Press, 2007. Haukoo...
published: 28 Mar 2013 -
SPSS Tutorials: Binary Logistic Regression
SPSS Tutorials: Binary Logistic Regression is part of the Departmental of Methodology Software tutorials sponsored by a grant from the LSE Annual Fund. For more information on the Departmental of Methodology visit www.lse.ac.uk/methodologyInstitute or follow us on twitter.com/MethodologyLSE LSE Annual Fund webpage http://www.alumni.lse.ac.uk/olc/pub/LHE/filemanager/annualfund/default.htm
published: 03 Jul 2012 -
Finding and Removing Outliers with R Software - Missing Data, Cleaning Up Data
R Statistics Basics Continued: Cleaning up your data via the "subset(...)" function. One way to remove outliers in R (a rather visual, qualitative way). Removing missing data (NAs, NaNs). More R Ssoftware and Econometrics Videos: http://sites.google.com/site/curtiskephart/ta/econ113 ------Video----Outline-------- Cleaning Up Your Data 2:11 Looking for outliers and non-numeric values -• str(...) -• summary(...) -• hist(...) 4:35 Dealing with outliers -• Do you really want to remove these? -• subset(...) 8:08 Dealing with non-numeric values (NAs or NaNs). -• Summary Stats with NAs -• Removing NAs ----------------------------------- References: - R Code from this Video: http://sites.google.com/site/curtiskephart/data/Cleaning%20up%20your%20data.R - Download Data f...
published: 29 Apr 2012 -
Dealing with Unequal Variances and Sample Sizes - SPSS (part 1)
SPSS provides a correction to the t-test in cases where there are unequal variances. However, when one has unequal variances and unequal sample sizes, this correction is no longer accurate. In this video, I demonstrate a simple approach to dealing with the problem of unequal variances and sample sizes.
published: 28 Jan 2012 -
Weighted least squares regression using SPSS
Once you have determined that you have violated the assumption of homoskedasticity of prediction errors in the context of OLS regression, then you may need to come up with an alternative strategy for estimating regression parameters - and most importantly, the standard errors. Weighted least squares (WLS) is one such option. This video provides a brief illustration of steps for carrying out weighted least squares (WLS) regression in SPSS.
published: 19 Nov 2015
Bootstrap Sample Technique in R software
- Order: Reorder
- Duration: 8:40
- Updated: 08 Jul 2015
- views: 7495
Bootstrap is very simple technique used for small samples. Major takeaways from video are:
What?: Resampling with replacement from sample data.
Why?: To find st...
Bootstrap is very simple technique used for small samples. Major takeaways from video are:
What?: Resampling with replacement from sample data.
Why?: To find std errors without invoking CLT.
How?: K times repetitive sampling of size n (observation).
When to use?: Most suitable for small sample sizes.
Major Advantage: No need to invoke CLT or normality assumption
https://wn.com/Bootstrap_Sample_Technique_In_R_Software
Bootstrap is very simple technique used for small samples. Major takeaways from video are:
What?: Resampling with replacement from sample data.
Why?: To find std errors without invoking CLT.
How?: K times repetitive sampling of size n (observation).
When to use?: Most suitable for small sample sizes.
Major Advantage: No need to invoke CLT or normality assumption
- published: 08 Jul 2015
- views: 7495
Understanding Confidence Intervals: Statistics Help
- Order: Reorder
- Duration: 4:03
- Updated: 27 Mar 2013
- views: 447895
This short video gives an explanation of the concept of confidence intervals, with helpful diagrams and examples.
Find out more on Statistics Learning Centre: ...
This short video gives an explanation of the concept of confidence intervals, with helpful diagrams and examples.
Find out more on Statistics Learning Centre: http://statslc.com
https://wn.com/Understanding_Confidence_Intervals_Statistics_Help
This short video gives an explanation of the concept of confidence intervals, with helpful diagrams and examples.
Find out more on Statistics Learning Centre: http://statslc.com
- published: 27 Mar 2013
- views: 447895
Heteroscedasticity Adjusted Standard Errors - SPSS (part 1)
- Order: Reorder
- Duration: 5:06
- Updated: 30 Jun 2011
- views: 17357
http://how2stats.blogspot.com/2011/09/heteroskedasticity-adjusted-standard.html
I demonstrate how to estimate accurate standard errors in multiple regression i...
http://how2stats.blogspot.com/2011/09/heteroskedasticity-adjusted-standard.html
I demonstrate how to estimate accurate standard errors in multiple regression in the presence of heteroscedasticity. To do so, I run a macro developed by Andew F. Hayes which can be found here:
http://www.afhayes.com/spss-sas-and-mplus-macros-and-code.html
Once the macro has been run (only once), you need to run the following syntax:
HCREG dv = "variable_name"
/iv = "variable_name1" "variable_name2", etc.
/const = 1
/method = 3
/covmat = 1
/test = 1
https://wn.com/Heteroscedasticity_Adjusted_Standard_Errors_Spss_(Part_1)
http://how2stats.blogspot.com/2011/09/heteroskedasticity-adjusted-standard.html
I demonstrate how to estimate accurate standard errors in multiple regression in the presence of heteroscedasticity. To do so, I run a macro developed by Andew F. Hayes which can be found here:
http://www.afhayes.com/spss-sas-and-mplus-macros-and-code.html
Once the macro has been run (only once), you need to run the following syntax:
HCREG dv = "variable_name"
/iv = "variable_name1" "variable_name2", etc.
/const = 1
/method = 3
/covmat = 1
/test = 1
- published: 30 Jun 2011
- views: 17357
SPSS - Mediation Analysis with PROCESS
- Order: Reorder
- Duration: 37:21
- Updated: 16 Apr 2015
- views: 58704
Lecturer: Dr. Erin M. Buchanan
Missouri State University
Spring 2015
Mediation analysis video covering model 4 in the process plug in (Hayes, 2013).
Lecture m...
Lecturer: Dr. Erin M. Buchanan
Missouri State University
Spring 2015
Mediation analysis video covering model 4 in the process plug in (Hayes, 2013).
Lecture materials and assignment available at statstools.com.
http://statstools.com/learn/advanced-statistics/
https://wn.com/Spss_Mediation_Analysis_With_Process
Lecturer: Dr. Erin M. Buchanan
Missouri State University
Spring 2015
Mediation analysis video covering model 4 in the process plug in (Hayes, 2013).
Lecture materials and assignment available at statstools.com.
http://statstools.com/learn/advanced-statistics/
- published: 16 Apr 2015
- views: 58704
Bootstrap 3 Tutorials - #6 - Modals (Popup Boxes)
- Order: Reorder
- Duration: 7:38
- Updated: 15 Sep 2013
- views: 153089
In this Bootstrap 3 Tutorial, we will be creating a popup modal which can display text, images, videos or any other HTML element.
Bootstrap: http://getbootstra...
In this Bootstrap 3 Tutorial, we will be creating a popup modal which can display text, images, videos or any other HTML element.
Bootstrap: http://getbootstrap.com
Code: http://www.coders-guide.com/watch?v=56
Website: http://coders-guide.com
Twitter: http://twitter.com/coders_guide
Facebook: http://goo.gl/DmWtB
Google+: http://goo.gl/cGyk8
Donate: http://goo.gl/q3MPw
https://wn.com/Bootstrap_3_Tutorials_6_Modals_(Popup_Boxes)
In this Bootstrap 3 Tutorial, we will be creating a popup modal which can display text, images, videos or any other HTML element.
Bootstrap: http://getbootstrap.com
Code: http://www.coders-guide.com/watch?v=56
Website: http://coders-guide.com
Twitter: http://twitter.com/coders_guide
Facebook: http://goo.gl/DmWtB
Google+: http://goo.gl/cGyk8
Donate: http://goo.gl/q3MPw
- published: 15 Sep 2013
- views: 153089
Satorra-Bentler adjustments for SEM
- Order: Reorder
- Duration: 1:16
- Updated: 07 Apr 2015
- views: 2815
Stata 14 lets you estimate the Satorra-Bentler adjusted model test. In this short video we show you how to specify that Satorra-Bentler scaled chi-squared test...
Stata 14 lets you estimate the Satorra-Bentler adjusted model test. In this short video we show you how to specify that Satorra-Bentler scaled chi-squared test that can be used in place of the usual likelihood ratio test when estimating an SEM with nonnormal data.
For more information about Satorra-Benter adjustments in Stata, see http://www.stata.com/stata14/sem-satorra-bentler. Copyright 2011-2017 StataCorp LLC. All rights reserved.
https://wn.com/Satorra_Bentler_Adjustments_For_Sem
Stata 14 lets you estimate the Satorra-Bentler adjusted model test. In this short video we show you how to specify that Satorra-Bentler scaled chi-squared test that can be used in place of the usual likelihood ratio test when estimating an SEM with nonnormal data.
For more information about Satorra-Benter adjustments in Stata, see http://www.stata.com/stata14/sem-satorra-bentler. Copyright 2011-2017 StataCorp LLC. All rights reserved.
- published: 07 Apr 2015
- views: 2815
Advancing the Blog: 9 - Django Crispy Forms
- Order: Reorder
- Duration: 7:04
- Updated: 24 Mar 2016
- views: 8122
Advancing the Blog: 9 - Django Crispy Forms
** Advancing the Blog ** is an extended look at building a modern blog with the Django Framework while leveraging o...
Advancing the Blog: 9 - Django Crispy Forms
** Advancing the Blog ** is an extended look at building a modern blog with the Django Framework while leveraging other technologies such as jQuery, Markdown, Bootstrap, APIs, and more.
We will be starting where Try Django 1.9 left off to create a powerful blog ready for the modern era. It is highly recommend to start with Try Django 1.9 before starting this series.
Watch Try Django 1.9 here: https://www.youtube.com/playlist?list=PLEsfXFp6DpzQFqfCur9CJ4QnKQTVXUsRy
Subscribe to our channel: http://bit.ly/1kxmkzq
Generally the topics will include:
- Django Project Setup
- Class Based Views (& some Function Based Views)
- Models, Model Forms, Forms, Form Validation
- Integrate Bootstrap front-end framework.
- Django Registration Redux for Authentication/Registration
- And More
Suggest and up-vote project ideas here: http://joincfe.com/suggest/ (please keep out content related to the Build a Django 1.8 Blog series)
Premium, in-depth, Django tutorials available here: http://joincfe.com/projects.
We are Coding For Entrepreneurs [TeamCFE] and have built an entire library of content to help you master Django and other web technologies to launch real projects faster. Enroll today for as low as $20/month.
Subscribe: http://bit.ly/1kxmkzq (shareable subscribe link)
What Technology you'll learn in the Build a Django 1.8 Blog series:
-- Django Framework (version 1.9): a powerful backend framework used by top sites like Instagram and Pinterest. Django makes it easier to have a powerful web application to use for all types of projects. Django is written in Python (and is one of the most popular Python libraries in the world). Read more here: http://djangoproject.com
-- Bootstrap (version 3.3): a powerful front-end framework used by thousands of sites around the world. Bootstrap makes it easier to have a responsive web application so it looks awesome on any mobile device and any desktop computer.
-- Python: One of the top programming languages in the world. Powerful enough for the experts, easy enough for beginners. Why? It uses spaces and line breaks with minimal special characters (like !@#$;*) which means it's closer to English than most programming languages. Learn more: http://python.org
All of our tutorials have a simple goal in mind: get you building something real and quickly.
https://wn.com/Advancing_The_Blog_9_Django_Crispy_Forms
Advancing the Blog: 9 - Django Crispy Forms
** Advancing the Blog ** is an extended look at building a modern blog with the Django Framework while leveraging other technologies such as jQuery, Markdown, Bootstrap, APIs, and more.
We will be starting where Try Django 1.9 left off to create a powerful blog ready for the modern era. It is highly recommend to start with Try Django 1.9 before starting this series.
Watch Try Django 1.9 here: https://www.youtube.com/playlist?list=PLEsfXFp6DpzQFqfCur9CJ4QnKQTVXUsRy
Subscribe to our channel: http://bit.ly/1kxmkzq
Generally the topics will include:
- Django Project Setup
- Class Based Views (& some Function Based Views)
- Models, Model Forms, Forms, Form Validation
- Integrate Bootstrap front-end framework.
- Django Registration Redux for Authentication/Registration
- And More
Suggest and up-vote project ideas here: http://joincfe.com/suggest/ (please keep out content related to the Build a Django 1.8 Blog series)
Premium, in-depth, Django tutorials available here: http://joincfe.com/projects.
We are Coding For Entrepreneurs [TeamCFE] and have built an entire library of content to help you master Django and other web technologies to launch real projects faster. Enroll today for as low as $20/month.
Subscribe: http://bit.ly/1kxmkzq (shareable subscribe link)
What Technology you'll learn in the Build a Django 1.8 Blog series:
-- Django Framework (version 1.9): a powerful backend framework used by top sites like Instagram and Pinterest. Django makes it easier to have a powerful web application to use for all types of projects. Django is written in Python (and is one of the most popular Python libraries in the world). Read more here: http://djangoproject.com
-- Bootstrap (version 3.3): a powerful front-end framework used by thousands of sites around the world. Bootstrap makes it easier to have a responsive web application so it looks awesome on any mobile device and any desktop computer.
-- Python: One of the top programming languages in the world. Powerful enough for the experts, easy enough for beginners. Why? It uses spaces and line breaks with minimal special characters (like !@#$;*) which means it's closer to English than most programming languages. Learn more: http://python.org
All of our tutorials have a simple goal in mind: get you building something real and quickly.
- published: 24 Mar 2016
- views: 8122
Machine Learning :: Model Selection & Cross Validation
- Order: Reorder
- Duration: 6:31
- Updated: 19 Jan 2012
- views: 21583
A brief tutorial on how to use the technique of Cross Validation to estimate machine learning algorithm's performance and to choose between different models.
A brief tutorial on how to use the technique of Cross Validation to estimate machine learning algorithm's performance and to choose between different models.
https://wn.com/Machine_Learning_Model_Selection_Cross_Validation
A brief tutorial on how to use the technique of Cross Validation to estimate machine learning algorithm's performance and to choose between different models.
- published: 19 Jan 2012
- views: 21583
Two-step Cluster Analysis in SPSS
- Order: Reorder
- Duration: 11:42
- Updated: 20 Mar 2012
- views: 124736
This is a two-step cluster analysis using SPSS. I do this to demonstrate how to explore profiles of responses. These profiles can then be used as a moderator in...
This is a two-step cluster analysis using SPSS. I do this to demonstrate how to explore profiles of responses. These profiles can then be used as a moderator in SEM analyses.
https://wn.com/Two_Step_Cluster_Analysis_In_Spss
ANOVA with Bonferroni Correction (Bonferroni Post Hoc Test) in SPSS
- Order: Reorder
- Duration: 14:21
- Updated: 10 Nov 2015
- views: 22629
This video demonstrates how to conduct an ANOVA with a Bonferroni correction (Bonferroni post hoc test) in SPSS. Two different methods of conducting a Bonferron...
This video demonstrates how to conduct an ANOVA with a Bonferroni correction (Bonferroni post hoc test) in SPSS. Two different methods of conducting a Bonferroni correction are reviewed. This correction reduces the Type I Error rate when testing multiple hypotheses.
https://wn.com/Anova_With_Bonferroni_Correction_(Bonferroni_Post_Hoc_Test)_In_Spss
This video demonstrates how to conduct an ANOVA with a Bonferroni correction (Bonferroni post hoc test) in SPSS. Two different methods of conducting a Bonferroni correction are reviewed. This correction reduces the Type I Error rate when testing multiple hypotheses.
- published: 10 Nov 2015
- views: 22629
5 MIN TUTORIAL - Responsive Web Design - SIMPLE EASY
- Order: Reorder
- Duration: 4:51
- Updated: 07 Oct 2014
- views: 27552
Facebook: https://www.facebook.com/OfficialTomHeylen
RESPONSIVE WEB DESIGN TUTORIAL FOR BEGINNERS – MOBILE WEBDESIGN - HTML5 css3
Please have a look at my web...
Facebook: https://www.facebook.com/OfficialTomHeylen
RESPONSIVE WEB DESIGN TUTORIAL FOR BEGINNERS – MOBILE WEBDESIGN - HTML5 css3
Please have a look at my webpage where you can find extra information and
download the pdf version.
http://tomtomheylen.com/categories/Responsive_web_design/Responsive_web_design_part_1.php
Exercise file
http://tomtomheylen.com/download_file.php?file=responsive1_final&extention;=html
NEXT VIDEO – responsive images, videos, menus, backgrounds and hiding elements
http://www.youtube.com/watch?v=1hTkEV43P_Q
IN THIS VIDEO YOU WILL LEARN
How to make a responsive webpage using HTML and css
The difference between a mobile website and a responsive website and why not to use the mobile version.
You should have a basic understanding of html and css in order to follow along this video.
I got really confused when starting to look into the topic of mobile devices, responsive web design and mobile sites.
This video will save you the time and hassles.
RESPONSIVE WEBDESIGN vs MOBILE VERSION
A responsive website is one website that resizes all the way to fit the screen of the user's device
Whereas a mobile version is a different website usually starting with m-dot
Why not to use the m-dot version.
Responsive web design doesn't require a separate website
You only have to maintain one website that looks good on any device.
m.dot websites can create errors when sharing url's, as they will be opened on desktop and mobile devices.
When errors, Search engines will punish your site in ranking lower
And the list goes on.
HTML & CSS FOR RESIZABLE WEB DESIGN
You can download the exercise file in the link below.
http://tomtomheylen.com/download_file.php?file=responsive1_final&extention;=html
A good way to build your website is by making your html tags fluid.
It is very easy to do by using percentage in your css.
For this example we are making a head, menu, the content body and a footer, centered in the web browser.
You only have to give the elements a min-height and a marging left and right.
With min-height, the elements can increase if needed,
Margin left and right are expressed in percentige to keep proportion for any screen resolution.
And same thing for margin-top and bottom.
You can play around with this figures to fit your needs.
So here we have a responsive website!!!
When I view this website on a mobile device however, it shows the website in full resolution and I have to zoom-in and out to navigate
.
Here is where the Viewport Meta Tag comes into play...
The viewport metatag was Apple's solution to the problem and was quickly adopted by other platforms. But was never pud forward by the W3C.
Therefor we will define a similar viewport rule in our css.
And another one as a fix for internet explorer.
The width adjusts the site to the device in normal view and landscape view.
And zoom or initial 1 stands for no zooming.
There are a whole bunch of viewport properties to use for every single device
But to make it easy, we only use a few to fit all.
I leave you a link as a reference.
viewport reference:
https://developer.mozilla.org/en/docs/Mozilla/Mobile/Viewport_meta_tag
When we view our webpage on a mobile device now, it looks the way we want.
NEXT VIDEO
http://www.youtube.com/watch?v=1hTkEV43P_Q
In the next video you will learn how to make
responsive navigation menus,
responsive images and videos,
responsive backgrounds
and how to hide elements.
Did you like this video?
Subscribe to my channel and share!
http://www.youtube.com/subscribe_widget?p=tomtomheylen1
Resources:
http://searchenginewatch.com/article/2208496/72-of-Consumers-Want-Mobile-Friendly-Sites-Google-Research
http://blog.hubspot.com/marketing/google-hates-your-mobile-optimized-website-ht
http://webdesign.tutsplus.com/articles/quick-tip-dont-forget-the-viewport-meta-tag--webdesign-5972
https://developer.mozilla.org/en/docs/Mozilla/Mobile/Viewport_meta_tag
https://wn.com/5_Min_Tutorial_Responsive_Web_Design_Simple_Easy
Facebook: https://www.facebook.com/OfficialTomHeylen
RESPONSIVE WEB DESIGN TUTORIAL FOR BEGINNERS – MOBILE WEBDESIGN - HTML5 css3
Please have a look at my webpage where you can find extra information and
download the pdf version.
http://tomtomheylen.com/categories/Responsive_web_design/Responsive_web_design_part_1.php
Exercise file
http://tomtomheylen.com/download_file.php?file=responsive1_final&extention;=html
NEXT VIDEO – responsive images, videos, menus, backgrounds and hiding elements
http://www.youtube.com/watch?v=1hTkEV43P_Q
IN THIS VIDEO YOU WILL LEARN
How to make a responsive webpage using HTML and css
The difference between a mobile website and a responsive website and why not to use the mobile version.
You should have a basic understanding of html and css in order to follow along this video.
I got really confused when starting to look into the topic of mobile devices, responsive web design and mobile sites.
This video will save you the time and hassles.
RESPONSIVE WEBDESIGN vs MOBILE VERSION
A responsive website is one website that resizes all the way to fit the screen of the user's device
Whereas a mobile version is a different website usually starting with m-dot
Why not to use the m-dot version.
Responsive web design doesn't require a separate website
You only have to maintain one website that looks good on any device.
m.dot websites can create errors when sharing url's, as they will be opened on desktop and mobile devices.
When errors, Search engines will punish your site in ranking lower
And the list goes on.
HTML & CSS FOR RESIZABLE WEB DESIGN
You can download the exercise file in the link below.
http://tomtomheylen.com/download_file.php?file=responsive1_final&extention;=html
A good way to build your website is by making your html tags fluid.
It is very easy to do by using percentage in your css.
For this example we are making a head, menu, the content body and a footer, centered in the web browser.
You only have to give the elements a min-height and a marging left and right.
With min-height, the elements can increase if needed,
Margin left and right are expressed in percentige to keep proportion for any screen resolution.
And same thing for margin-top and bottom.
You can play around with this figures to fit your needs.
So here we have a responsive website!!!
When I view this website on a mobile device however, it shows the website in full resolution and I have to zoom-in and out to navigate
.
Here is where the Viewport Meta Tag comes into play...
The viewport metatag was Apple's solution to the problem and was quickly adopted by other platforms. But was never pud forward by the W3C.
Therefor we will define a similar viewport rule in our css.
And another one as a fix for internet explorer.
The width adjusts the site to the device in normal view and landscape view.
And zoom or initial 1 stands for no zooming.
There are a whole bunch of viewport properties to use for every single device
But to make it easy, we only use a few to fit all.
I leave you a link as a reference.
viewport reference:
https://developer.mozilla.org/en/docs/Mozilla/Mobile/Viewport_meta_tag
When we view our webpage on a mobile device now, it looks the way we want.
NEXT VIDEO
http://www.youtube.com/watch?v=1hTkEV43P_Q
In the next video you will learn how to make
responsive navigation menus,
responsive images and videos,
responsive backgrounds
and how to hide elements.
Did you like this video?
Subscribe to my channel and share!
http://www.youtube.com/subscribe_widget?p=tomtomheylen1
Resources:
http://searchenginewatch.com/article/2208496/72-of-Consumers-Want-Mobile-Friendly-Sites-Google-Research
http://blog.hubspot.com/marketing/google-hates-your-mobile-optimized-website-ht
http://webdesign.tutsplus.com/articles/quick-tip-dont-forget-the-viewport-meta-tag--webdesign-5972
https://developer.mozilla.org/en/docs/Mozilla/Mobile/Viewport_meta_tag
- published: 07 Oct 2014
- views: 27552
Common Method Bias
- Order: Reorder
- Duration: 5:55
- Updated: 25 Mar 2011
- views: 66405
This video takes you through three approaches for detecting common method bias: Harman's single factor test, common latent factor, and marker variable. I use SP...
This video takes you through three approaches for detecting common method bias: Harman's single factor test, common latent factor, and marker variable. I use SPSS and AMOS.
https://wn.com/Common_Method_Bias
Model fit during a Confirmatory Factor Analysis (CFA) in AMOS
- Order: Reorder
- Duration: 10:07
- Updated: 25 Mar 2011
- views: 303972
This is a model fit exercise during a CFA in AMOS. I demonstrate how to build a good looking model, and then I address model fit issues, including modification ...
This is a model fit exercise during a CFA in AMOS. I demonstrate how to build a good looking model, and then I address model fit issues, including modification indices and standardized residual covariances. I also discuss briefly the thresholds for goodness of fit measures. For a reference, you can use:
Litze Hu & Peter M. Bentler (1999) Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives, Structural Equation Modeling: A Multidisciplinary Journal, 6:1, 1-55
https://wn.com/Model_Fit_During_A_Confirmatory_Factor_Analysis_(Cfa)_In_Amos
This is a model fit exercise during a CFA in AMOS. I demonstrate how to build a good looking model, and then I address model fit issues, including modification indices and standardized residual covariances. I also discuss briefly the thresholds for goodness of fit measures. For a reference, you can use:
Litze Hu & Peter M. Bentler (1999) Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives, Structural Equation Modeling: A Multidisciplinary Journal, 6:1, 1-55
- published: 25 Mar 2011
- views: 303972
How to Use SPSS- Receiver Operating Characteristics (ROC) Curve Part 1
- Order: Reorder
- Duration: 12:34
- Updated: 14 May 2013
- views: 98362
Determing the accuracy of a diagnostic-evaluative test in predicting a dichotomous outcome. For methods to determine a cut-off score for the diagnosis of the ou...
Determing the accuracy of a diagnostic-evaluative test in predicting a dichotomous outcome. For methods to determine a cut-off score for the diagnosis of the outcome, please see ROC Curve Part 2 (http://www.youtube.com/watch?v=WO8Re7YqnP0).
The following resource can be used to determine sample sizes for ROC analysis: Hanley JA, & McNeil BJ. (1982). The meaning and use of the area under a receiver operating characteristic (ROC) curve. Radiology. 143(1), 29-36.
https://wn.com/How_To_Use_Spss_Receiver_Operating_Characteristics_(Roc)_Curve_Part_1
Determing the accuracy of a diagnostic-evaluative test in predicting a dichotomous outcome. For methods to determine a cut-off score for the diagnosis of the outcome, please see ROC Curve Part 2 (http://www.youtube.com/watch?v=WO8Re7YqnP0).
The following resource can be used to determine sample sizes for ROC analysis: Hanley JA, & McNeil BJ. (1982). The meaning and use of the area under a receiver operating characteristic (ROC) curve. Radiology. 143(1), 29-36.
- published: 14 May 2013
- views: 98362
Forecasting - Simple moving average - Example 1
- Order: Reorder
- Duration: 10:30
- Updated: 21 Feb 2014
- views: 96815
In this video, you will learn how to find out the 3 month and 4 monthly moving average for demand forecasting.
In this video, you will learn how to find out the 3 month and 4 monthly moving average for demand forecasting.
https://wn.com/Forecasting_Simple_Moving_Average_Example_1
In this video, you will learn how to find out the 3 month and 4 monthly moving average for demand forecasting.
- published: 21 Feb 2014
- views: 96815
How to Use SPSS-Replacing Missing Data Using Multiple Imputation (Regression Method)
- Order: Reorder
- Duration: 45:01
- Updated: 28 Mar 2013
- views: 127478
Technique for replacing missing data using the regression method. Appropriate for data that may be missing randomly or non-randomly. Also appropriate for data t...
Technique for replacing missing data using the regression method. Appropriate for data that may be missing randomly or non-randomly. Also appropriate for data that will be used in inferential analysis. Determining randomness of missing data can be confirmed with Little's MCAR Test (http://youtu.be/6ybgVTabJ6s).
Resources:
FAQ- http://sites.stat.psu.edu/~jls/mifaq.html
Schafer, Joseph L. "Multiple imputation: a primer." Statistical methods in medical research 8.1 (1999): 3-15.
Sterne, Jonathan AC, et al. "Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls." BMJ: British Medical Journal 338 (2009).
McKnight, Patrick E., Katherine M. McKnight, and Aurelio Jose Figueredo. Missing data: A gentle introduction. Guilford Press, 2007.
Haukoos, Jason S., and Craig D. Newgard. "Advanced statistics: missing data in clinical research—part 1: an introduction and conceptual framework." Academic Emergency Medicine 14.7 (2007): 662-668.
Newgard, Craig D., and Jason S. Haukoos. "Advanced statistics: missing data in clinical research—part 2: multiple imputation." Academic Emergency Medicine 14.7 (2007): 669-678.
https://wn.com/How_To_Use_Spss_Replacing_Missing_Data_Using_Multiple_Imputation_(Regression_Method)
Technique for replacing missing data using the regression method. Appropriate for data that may be missing randomly or non-randomly. Also appropriate for data that will be used in inferential analysis. Determining randomness of missing data can be confirmed with Little's MCAR Test (http://youtu.be/6ybgVTabJ6s).
Resources:
FAQ- http://sites.stat.psu.edu/~jls/mifaq.html
Schafer, Joseph L. "Multiple imputation: a primer." Statistical methods in medical research 8.1 (1999): 3-15.
Sterne, Jonathan AC, et al. "Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls." BMJ: British Medical Journal 338 (2009).
McKnight, Patrick E., Katherine M. McKnight, and Aurelio Jose Figueredo. Missing data: A gentle introduction. Guilford Press, 2007.
Haukoos, Jason S., and Craig D. Newgard. "Advanced statistics: missing data in clinical research—part 1: an introduction and conceptual framework." Academic Emergency Medicine 14.7 (2007): 662-668.
Newgard, Craig D., and Jason S. Haukoos. "Advanced statistics: missing data in clinical research—part 2: multiple imputation." Academic Emergency Medicine 14.7 (2007): 669-678.
- published: 28 Mar 2013
- views: 127478
SPSS Tutorials: Binary Logistic Regression
- Order: Reorder
- Duration: 7:40
- Updated: 03 Jul 2012
- views: 148128
SPSS Tutorials: Binary Logistic Regression is part of the Departmental of Methodology Software tutorials sponsored by a grant from the LSE Annual Fund.
For mor...
SPSS Tutorials: Binary Logistic Regression is part of the Departmental of Methodology Software tutorials sponsored by a grant from the LSE Annual Fund.
For more information on the Departmental of Methodology visit www.lse.ac.uk/methodologyInstitute or follow us on twitter.com/MethodologyLSE
LSE Annual Fund webpage http://www.alumni.lse.ac.uk/olc/pub/LHE/filemanager/annualfund/default.htm
https://wn.com/Spss_Tutorials_Binary_Logistic_Regression
SPSS Tutorials: Binary Logistic Regression is part of the Departmental of Methodology Software tutorials sponsored by a grant from the LSE Annual Fund.
For more information on the Departmental of Methodology visit www.lse.ac.uk/methodologyInstitute or follow us on twitter.com/MethodologyLSE
LSE Annual Fund webpage http://www.alumni.lse.ac.uk/olc/pub/LHE/filemanager/annualfund/default.htm
- published: 03 Jul 2012
- views: 148128
Finding and Removing Outliers with R Software - Missing Data, Cleaning Up Data
- Order: Reorder
- Duration: 13:08
- Updated: 29 Apr 2012
- views: 76885
R Statistics Basics Continued: Cleaning up your data via the "subset(...)" function. One way to remove outliers in R (a rather visual, qualitative way). Removin...
R Statistics Basics Continued: Cleaning up your data via the "subset(...)" function. One way to remove outliers in R (a rather visual, qualitative way). Removing missing data (NAs, NaNs).
More R Ssoftware and Econometrics Videos: http://sites.google.com/site/curtiskephart/ta/econ113
------Video----Outline--------
Cleaning Up Your Data
2:11 Looking for outliers and non-numeric values
-• str(...)
-• summary(...)
-• hist(...)
4:35 Dealing with outliers
-• Do you really want to remove these?
-• subset(...)
8:08 Dealing with non-numeric values (NAs or NaNs).
-• Summary Stats with NAs
-• Removing NAs
-----------------------------------
References:
- R Code from this Video: http://sites.google.com/site/curtiskephart/data/Cleaning%20up%20your%20data.R
- Download Data from this video: http://sites.google.com/site/curtiskephart/data/nhisdata.txt
- Help Loading Data Video: http://youtu.be/VLtazaiYo-c
https://wn.com/Finding_And_Removing_Outliers_With_R_Software_Missing_Data,_Cleaning_Up_Data
R Statistics Basics Continued: Cleaning up your data via the "subset(...)" function. One way to remove outliers in R (a rather visual, qualitative way). Removing missing data (NAs, NaNs).
More R Ssoftware and Econometrics Videos: http://sites.google.com/site/curtiskephart/ta/econ113
------Video----Outline--------
Cleaning Up Your Data
2:11 Looking for outliers and non-numeric values
-• str(...)
-• summary(...)
-• hist(...)
4:35 Dealing with outliers
-• Do you really want to remove these?
-• subset(...)
8:08 Dealing with non-numeric values (NAs or NaNs).
-• Summary Stats with NAs
-• Removing NAs
-----------------------------------
References:
- R Code from this Video: http://sites.google.com/site/curtiskephart/data/Cleaning%20up%20your%20data.R
- Download Data from this video: http://sites.google.com/site/curtiskephart/data/nhisdata.txt
- Help Loading Data Video: http://youtu.be/VLtazaiYo-c
- published: 29 Apr 2012
- views: 76885
Dealing with Unequal Variances and Sample Sizes - SPSS (part 1)
- Order: Reorder
- Duration: 5:05
- Updated: 28 Jan 2012
- views: 36977
SPSS provides a correction to the t-test in cases where there are unequal variances. However, when one has unequal variances and unequal sample sizes, this corr...
SPSS provides a correction to the t-test in cases where there are unequal variances. However, when one has unequal variances and unequal sample sizes, this correction is no longer accurate. In this video, I demonstrate a simple approach to dealing with the problem of unequal variances and sample sizes.
https://wn.com/Dealing_With_Unequal_Variances_And_Sample_Sizes_Spss_(Part_1)
SPSS provides a correction to the t-test in cases where there are unequal variances. However, when one has unequal variances and unequal sample sizes, this correction is no longer accurate. In this video, I demonstrate a simple approach to dealing with the problem of unequal variances and sample sizes.
- published: 28 Jan 2012
- views: 36977
Weighted least squares regression using SPSS
- Order: Reorder
- Duration: 7:19
- Updated: 19 Nov 2015
- views: 10148
Once you have determined that you have violated the assumption of homoskedasticity of prediction errors in the context of OLS regression, then you may need to c...
Once you have determined that you have violated the assumption of homoskedasticity of prediction errors in the context of OLS regression, then you may need to come up with an alternative strategy for estimating regression parameters - and most importantly, the standard errors. Weighted least squares (WLS) is one such option. This video provides a brief illustration of steps for carrying out weighted least squares (WLS) regression in SPSS.
https://wn.com/Weighted_Least_Squares_Regression_Using_Spss
Once you have determined that you have violated the assumption of homoskedasticity of prediction errors in the context of OLS regression, then you may need to come up with an alternative strategy for estimating regression parameters - and most importantly, the standard errors. Weighted least squares (WLS) is one such option. This video provides a brief illustration of steps for carrying out weighted least squares (WLS) regression in SPSS.
- published: 19 Nov 2015
- views: 10148
-
SPSS - Mediation Analysis with PROCESS
Lecturer: Dr. Erin M. Buchanan Missouri State University Spring 2015 Mediation analysis video covering model 4 in the process plug in (Hayes, 2013). Lecture materials and assignment available at statstools.com. http://statstools.com/learn/advanced-statistics/
published: 16 Apr 2015 -
How to Use SPSS-Replacing Missing Data Using Multiple Imputation (Regression Method)
Technique for replacing missing data using the regression method. Appropriate for data that may be missing randomly or non-randomly. Also appropriate for data that will be used in inferential analysis. Determining randomness of missing data can be confirmed with Little's MCAR Test (http://youtu.be/6ybgVTabJ6s). Resources: FAQ- http://sites.stat.psu.edu/~jls/mifaq.html Schafer, Joseph L. "Multiple imputation: a primer." Statistical methods in medical research 8.1 (1999): 3-15. Sterne, Jonathan AC, et al. "Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls." BMJ: British Medical Journal 338 (2009). McKnight, Patrick E., Katherine M. McKnight, and Aurelio Jose Figueredo. Missing data: A gentle introduction. Guilford Press, 2007. Haukoo...
published: 28 Mar 2013 -
Mohnish Pabrai: "Dhandho. Heads I win; Tails I don't lose much" | Talks at Google
Description: In a straightforward and accessible manner, The Dhandho Investor lays out the powerful framework of value investing. Written with the intelligent individual investor in mind, this comprehensive guide distills the Dhandho capital allocation framework of the business savvy Patels from India and presents how they can be applied successfully to the stock market. The Dhandho method expands on the groundbreaking principles of value investing expounded by Benjamin Graham, Warren Buffett, and Charlie Munger. Readers will be introduced to important value investing concepts such as "Heads, I win! Tails, I don't lose that much!," "Few Bets, Big Bets, Infrequent Bets," Abhimanyu's dilemma, and a detailed treatise on using the Kelly Formula to invest in undervalued stocks. Using a light, ...
published: 29 Jul 2014 -
The New Statistics: Confidence Intervals, NHST, and p Values (Workshop Part 1)
Featuring Geoff Cumming La Trobe University, Australia Leading scholars in psychology and other disciplines are striving to help scientists enhance the way they conduct, analyze, and report their research. They advocate the use of “the new statistics,”— effect sizes, confidence intervals, and meta-analysis. APS’ flagship journal, Psychological Science, has been inviting authors to use the “new statistics” as part of a comprehensive effort to enhance research methodology. In this workshop, Geoff Cumming, a leading expert in new statistics, explains why all these changes are necessary, and suggests how psychological scientists can implement them. The workshop was recorded at the 2014 APS Annual Convention in San Francisco, and is presented here as six video segments. It makes extensive use...
published: 15 Sep 2014 -
17. Learning: Boosting
MIT 6.034 Artificial Intelligence, Fall 2010 View the complete course: http://ocw.mit.edu/6-034F10 Instructor: Patrick Winston Can multiple weak classifiers be used to make a strong one? We examine the boosting algorithm, which adjusts the weight of each classifier, and work through the math. We end with how boosting doesn't seem to overfit, and mention some applications. License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
published: 10 Jan 2014 -
Polymer Developer Summit 2017 - Live Stream Day 1
Check out the live stream on Day 1 of the Polymer Developer Summit 2017, Copenhagen. Join us for two days of talks, codelabs, and breakout sessions from the Polymer team, Googlers and major companies using Polymer and Web Components. Subscribe to the Google Chrome Developers channel: http://goo.gl/LLLNvf Music by Terra Monk: https://goo.gl/hLGjvK
published: 22 Aug 2017 -
One Page WordPress Website Tutorial & WordPress Parallax Website Tutorial using the Divi Theme
In this tutorial we are going to create a one page WordPress website. As a bonus we going to use the parallax effect and create a WordPress Parallax Website tutorial. Get The Divi Theme (affiliate link): http://www.elegantthemes.com/affiliates/idevaffiliate.php?id=26271&tid1;=yt&tid2;=one-page Creating a one page website can be a great option. If your product or service is simple it can be a great way to deliver your message to your viewers. You can even link with in your one page website to specific sections. This will allow you to create a website menu or to create external links that will go to a specific part of the webpage. Watch the video or check the index below to see specifically how to do that. This tutorial features a WordPress parallax website. In this specific example the p...
published: 15 Jul 2017 -
Joe Parrish: "To Mars and Back - Technologies for a Potential Mars [...]" | Talks at Google
After decades of (mostly) successful one-way missions from Earth to Mars, NASA is now considering the possibility of returning scientifically-selected samples of Mars rock, soil, and atmosphere to Earth for detailed analysis in our most capable laboratories. The Mars Sample Return mission is a fascinating systems engineering challenge. It involves all of the usual operations of a Mars rover mission, but adds new functions to package and launch the samples into Mars orbit, capture them, and return them safely to Earth. Because the Mars samples may contain biologically active materials, prudence dictates that we treat the samples as potentially hazardous unless contained or sterilized. A number of new technologies are needed to enable this mission: (1) a Mars Ascent Vehicle (MAV) to bring th...
published: 02 Aug 2017 -
Variable Selection with Error Control: Another Look at Stability Selection
Richard Samworth, University of Cambridge Succinct Data Representations and Applications http://simons.berkeley.edu/talks/richard-samworth-2013-09-18
published: 27 Sep 2013 -
Fixed Effects vs Random Effects
An introduction to the difference between fixed effects and random effects models, and the Hausman Test for Panel Data models.
published: 15 Jun 2012 -
Complex forms with Advanced Directives in AngularJS
Announcements (Igor Minar) slides - http://goo.gl/0RfNZM Main Talk: Complex forms with advanced directives in AngularJS Speaker: Matias Niemelä (bio below) Slides: http://goo.gl/SuJVwA Developing forms in Angular is a challenging task since there are so many moving parts involved. Should we be tossing everything into a large controller? Is there such a thing as too much HTML code? Should we be using more directives and, if so, how can they share form data in a smart and efficient manner? Is there a right way to go about doing this? By intelligently using directives in our template code, we can always improve the flexibility and reusability of our form-based code. Let’s explore the best practices and new features of AngularJS for form building and construct a dynamic survey-building to...
published: 26 Nov 2014 -
Double Machine Learning for Causal and Treatment Effects
Victor Chernozhukov of the Massachusetts Institute of Technology provides a general framework for estimating and drawing inference about a low-dimensional parameter in the presence of a high-dimensional nuisance parameter using a generation of nonparametric statistical (machine learning) methods.
published: 30 Oct 2016 -
The Linear Model (Regression Part I)
Lecture given at the University of Sussex 2012. Relates to the Regression chapter of my textbooks. Introduces the linear model (Regression). Discusses what simple and multiple regression are, what the b values represent, and how to test the fit of the model with R-square and the F-Ratio. It also has a description of bootstrapping involving a pink hippo, what more can you ask for?
published: 27 Jan 2013 -
Try DJANGO TUTORIAL Series (v1.11) // Learn Django Version 1.11
Learn Django Basics in the Try Django Tutorial Series (2017). This series is a step-by-step tutorial covering the basics of the Django web framework. Jump to sections below: 2 - Walkthrough (0:03:54) 3 - Getting Started with Django (0:07:48) 4 - Four Your Reference (0:31:58) 5 - What Django Does (0:34:38) 6 - Rendering HTML (0:45:15) 7 - Render a Django Template (0:50:02) 8 - Context in Django Templates (0:59:18) 9 - Template Inheritance (1:08:39) 10 - Include Template Tag (1:22:45) 11 - Reactivate Virtualenv (1:28:48) 12 - Class Based Views (1:30:02) 13 - Template View (1:38:31) 14 - Remembering Things with Models (1:46:04) 15 - More on Model Fields (1:57:10) 16 - Displaying Saved Data (2:06:12) 17 - Understanding QuerySets (2:16:02) 18 - Generic List View (2:25:19) 19 - Restaurant Prof...
published: 06 Jul 2017 -
Session 3, Part 2: Financial Projections
MIT 15.S21 Nuts and Bolts of Business Plans, IAP 2014 View the complete course: http://ocw.mit.edu/15-S21IAP14 Instructor: Charlie Tillett This portion of the program will introduce some financial projection techniques based on actual business experience. License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
published: 28 Jul 2016 -
Google Developer Days Europe 2017 - Day 1 (Theatre)
Check in to the livestream to watch day 1 of GDD Europe '17! This livestream will cover all sessions taking place on the Theatre stage of the ICE Congress Center here in Krakow, Poland. Check out the Day 1 event schedule here: https://goo.gl/MKSKfX Google Developer Days (GDD) are global events showcasing the latest developer products and platforms from Google to help you quickly develop high quality apps, grow & retain an active user base, and tap into tools to earn more. Music by Terra Monk: https://goo.gl/t9AkfX #GDDEurope
published: 24 Aug 2017 -
Frameworks: using bootstrap and codeIgniter to build awesome applications - Bret Feddern
https://elements.psu.edu/2016/sessions/frameworks-using-bootstrap-and-codeigniter-build-awesome-applications
published: 21 Jul 2016 -
How to Develop the Statistical Plan and Sample Size Calculation for the PRO of a Study
4th webinar in a series of 6 entitled Best Practices for Integrating Patient-Reported Outcomes (PROs) in Oncology Clinical Trials from the National Cancer Institute and the International Society for Quality of Life Research
published: 19 Nov 2014 -
Lecture 14 | Deep Reinforcement Learning
In Lecture 14 we move from supervised learning to reinforcement learning (RL), in which an agent must learn to interact with an environment in order to maximize its reward. We formalize reinforcement learning using the language of Markov Decision Processes (MDPs), policies, value functions, and Q-Value functions. We discuss different algorithms for reinforcement learning including Q-Learning, policy gradients, and Actor-Critic. We show how deep reinforcement learning has been used to play Atari games and to achieve super-human Go performance in AlphaGo. Keywords: Reinforcement learning, RL, Markov decision process, MDP, Q-Learning, policy gradients, REINFORCE, actor-critic, Atari games, AlphaGo Slides: http://cs231n.stanford.edu/slides/2017/cs231n_2017_lecture14.pdf --------------------...
published: 11 Aug 2017 -
Resampling (statistics)
In statistics, resampling is any of a variety of methods for doing one of the following: Estimating the precision of sample statistics by using subsets of available data or drawing randomly with replacement from a set of data points This video is targeted to blind users. Attribution: Article text available under CC-BY-SA Creative Commons image source in video
published: 01 Nov 2015
SPSS - Mediation Analysis with PROCESS
- Order: Reorder
- Duration: 37:21
- Updated: 16 Apr 2015
- views: 58704
Lecturer: Dr. Erin M. Buchanan
Missouri State University
Spring 2015
Mediation analysis video covering model 4 in the process plug in (Hayes, 2013).
Lecture m...
Lecturer: Dr. Erin M. Buchanan
Missouri State University
Spring 2015
Mediation analysis video covering model 4 in the process plug in (Hayes, 2013).
Lecture materials and assignment available at statstools.com.
http://statstools.com/learn/advanced-statistics/
https://wn.com/Spss_Mediation_Analysis_With_Process
Lecturer: Dr. Erin M. Buchanan
Missouri State University
Spring 2015
Mediation analysis video covering model 4 in the process plug in (Hayes, 2013).
Lecture materials and assignment available at statstools.com.
http://statstools.com/learn/advanced-statistics/
- published: 16 Apr 2015
- views: 58704
How to Use SPSS-Replacing Missing Data Using Multiple Imputation (Regression Method)
- Order: Reorder
- Duration: 45:01
- Updated: 28 Mar 2013
- views: 127478
Technique for replacing missing data using the regression method. Appropriate for data that may be missing randomly or non-randomly. Also appropriate for data t...
Technique for replacing missing data using the regression method. Appropriate for data that may be missing randomly or non-randomly. Also appropriate for data that will be used in inferential analysis. Determining randomness of missing data can be confirmed with Little's MCAR Test (http://youtu.be/6ybgVTabJ6s).
Resources:
FAQ- http://sites.stat.psu.edu/~jls/mifaq.html
Schafer, Joseph L. "Multiple imputation: a primer." Statistical methods in medical research 8.1 (1999): 3-15.
Sterne, Jonathan AC, et al. "Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls." BMJ: British Medical Journal 338 (2009).
McKnight, Patrick E., Katherine M. McKnight, and Aurelio Jose Figueredo. Missing data: A gentle introduction. Guilford Press, 2007.
Haukoos, Jason S., and Craig D. Newgard. "Advanced statistics: missing data in clinical research—part 1: an introduction and conceptual framework." Academic Emergency Medicine 14.7 (2007): 662-668.
Newgard, Craig D., and Jason S. Haukoos. "Advanced statistics: missing data in clinical research—part 2: multiple imputation." Academic Emergency Medicine 14.7 (2007): 669-678.
https://wn.com/How_To_Use_Spss_Replacing_Missing_Data_Using_Multiple_Imputation_(Regression_Method)
Technique for replacing missing data using the regression method. Appropriate for data that may be missing randomly or non-randomly. Also appropriate for data that will be used in inferential analysis. Determining randomness of missing data can be confirmed with Little's MCAR Test (http://youtu.be/6ybgVTabJ6s).
Resources:
FAQ- http://sites.stat.psu.edu/~jls/mifaq.html
Schafer, Joseph L. "Multiple imputation: a primer." Statistical methods in medical research 8.1 (1999): 3-15.
Sterne, Jonathan AC, et al. "Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls." BMJ: British Medical Journal 338 (2009).
McKnight, Patrick E., Katherine M. McKnight, and Aurelio Jose Figueredo. Missing data: A gentle introduction. Guilford Press, 2007.
Haukoos, Jason S., and Craig D. Newgard. "Advanced statistics: missing data in clinical research—part 1: an introduction and conceptual framework." Academic Emergency Medicine 14.7 (2007): 662-668.
Newgard, Craig D., and Jason S. Haukoos. "Advanced statistics: missing data in clinical research—part 2: multiple imputation." Academic Emergency Medicine 14.7 (2007): 669-678.
- published: 28 Mar 2013
- views: 127478
Mohnish Pabrai: "Dhandho. Heads I win; Tails I don't lose much" | Talks at Google
- Order: Reorder
- Duration: 59:35
- Updated: 29 Jul 2014
- views: 79713
Description:
In a straightforward and accessible manner, The Dhandho Investor lays out the powerful framework of value investing. Written with the intelligent ...
Description:
In a straightforward and accessible manner, The Dhandho Investor lays out the powerful framework of value investing. Written with the intelligent individual investor in mind, this comprehensive guide distills the Dhandho capital allocation framework of the business savvy Patels from India and presents how they can be applied successfully to the stock market. The Dhandho method expands on the groundbreaking principles of value investing expounded by Benjamin Graham, Warren Buffett, and Charlie Munger. Readers will be introduced to important value investing concepts such as "Heads, I win! Tails, I don't lose that much!," "Few Bets, Big Bets, Infrequent Bets," Abhimanyu's dilemma, and a detailed treatise on using the Kelly Formula to invest in undervalued stocks. Using a light, entertaining style, Pabrai lays out the Dhandho framework in an easy-to-use format. Any investor who adopts the framework is bound to improve on results and soundly beat the markets and most professionals.
About the Author:
Mohnish Pabrai is the Managing Partner of the Pabrai Investment Funds and Dhandho Holdings. Since inception in 1999 with $1 million in assets under management, Pabrai Investment Funds has grown to over $690 million in assets under management in 2014. The funds invest in public equities utilizing the Munger/Buffett Focused Value investing approach. Mohnish is the author of two books on value investing, The Dhandho Investor and Mosaic: Perspectives on Investing. The Dhandho Investor has been translated into German,Chinese, Japanese and Thai. Pabrai also founded and raised over $150 million for Dhandho Holdings in early 2014.
Pabrai was the Founder/CEO of TransTech, Inc. - an IT Consulting and Systems Integration company. Founded in his home in 1990, Pabrai bootstrapped the company to over $20 million in revenue when it was sold in 2000. Pabrai is also the Founder and Chairman of the Dakshana Foundation (www.dakshana.org). Dakshana Foundation is focused on providing world-class educational opportunities to economically and socially disadvantaged gifted children worldwide. He loves reading and playing duplicate bridge. He lives in Irvine, California.
https://wn.com/Mohnish_Pabrai_Dhandho._Heads_I_Win_Tails_I_Don't_Lose_Much_|_Talks_At_Google
Description:
In a straightforward and accessible manner, The Dhandho Investor lays out the powerful framework of value investing. Written with the intelligent individual investor in mind, this comprehensive guide distills the Dhandho capital allocation framework of the business savvy Patels from India and presents how they can be applied successfully to the stock market. The Dhandho method expands on the groundbreaking principles of value investing expounded by Benjamin Graham, Warren Buffett, and Charlie Munger. Readers will be introduced to important value investing concepts such as "Heads, I win! Tails, I don't lose that much!," "Few Bets, Big Bets, Infrequent Bets," Abhimanyu's dilemma, and a detailed treatise on using the Kelly Formula to invest in undervalued stocks. Using a light, entertaining style, Pabrai lays out the Dhandho framework in an easy-to-use format. Any investor who adopts the framework is bound to improve on results and soundly beat the markets and most professionals.
About the Author:
Mohnish Pabrai is the Managing Partner of the Pabrai Investment Funds and Dhandho Holdings. Since inception in 1999 with $1 million in assets under management, Pabrai Investment Funds has grown to over $690 million in assets under management in 2014. The funds invest in public equities utilizing the Munger/Buffett Focused Value investing approach. Mohnish is the author of two books on value investing, The Dhandho Investor and Mosaic: Perspectives on Investing. The Dhandho Investor has been translated into German,Chinese, Japanese and Thai. Pabrai also founded and raised over $150 million for Dhandho Holdings in early 2014.
Pabrai was the Founder/CEO of TransTech, Inc. - an IT Consulting and Systems Integration company. Founded in his home in 1990, Pabrai bootstrapped the company to over $20 million in revenue when it was sold in 2000. Pabrai is also the Founder and Chairman of the Dakshana Foundation (www.dakshana.org). Dakshana Foundation is focused on providing world-class educational opportunities to economically and socially disadvantaged gifted children worldwide. He loves reading and playing duplicate bridge. He lives in Irvine, California.
- published: 29 Jul 2014
- views: 79713
The New Statistics: Confidence Intervals, NHST, and p Values (Workshop Part 1)
- Order: Reorder
- Duration: 29:09
- Updated: 15 Sep 2014
- views: 16722
Featuring
Geoff Cumming
La Trobe University, Australia
Leading scholars in psychology and other disciplines are striving to help scientists enhance the way the...
Featuring
Geoff Cumming
La Trobe University, Australia
Leading scholars in psychology and other disciplines are striving to help scientists enhance the way they conduct, analyze, and report their research. They advocate the use of “the new statistics,”— effect sizes, confidence intervals, and meta-analysis. APS’ flagship journal, Psychological Science, has been inviting authors to use the “new statistics” as part of a comprehensive effort to enhance research methodology.
In this workshop, Geoff Cumming, a leading expert in new statistics, explains why all these changes are necessary, and suggests how psychological scientists can implement them. The workshop was recorded at the 2014 APS Annual Convention in San Francisco, and is presented here as six video segments. It makes extensive use of interactive simulations to illustrate concepts, and provides a wealth of practical guidance.
Part 1 Includes:
• An introduction to estimation based on confidence intervals
• Problems with NHSTand the advantages of estimation
• Cognitive evidence to guide choice of statistical techniques
• Some problems with p values
• The ‘dance of the p values’.
https://wn.com/The_New_Statistics_Confidence_Intervals,_Nhst,_And_P_Values_(Workshop_Part_1)
Featuring
Geoff Cumming
La Trobe University, Australia
Leading scholars in psychology and other disciplines are striving to help scientists enhance the way they conduct, analyze, and report their research. They advocate the use of “the new statistics,”— effect sizes, confidence intervals, and meta-analysis. APS’ flagship journal, Psychological Science, has been inviting authors to use the “new statistics” as part of a comprehensive effort to enhance research methodology.
In this workshop, Geoff Cumming, a leading expert in new statistics, explains why all these changes are necessary, and suggests how psychological scientists can implement them. The workshop was recorded at the 2014 APS Annual Convention in San Francisco, and is presented here as six video segments. It makes extensive use of interactive simulations to illustrate concepts, and provides a wealth of practical guidance.
Part 1 Includes:
• An introduction to estimation based on confidence intervals
• Problems with NHSTand the advantages of estimation
• Cognitive evidence to guide choice of statistical techniques
• Some problems with p values
• The ‘dance of the p values’.
- published: 15 Sep 2014
- views: 16722
17. Learning: Boosting
- Order: Reorder
- Duration: 51:40
- Updated: 10 Jan 2014
- views: 97696
MIT 6.034 Artificial Intelligence, Fall 2010
View the complete course: http://ocw.mit.edu/6-034F10
Instructor: Patrick Winston
Can multiple weak classifiers be...
MIT 6.034 Artificial Intelligence, Fall 2010
View the complete course: http://ocw.mit.edu/6-034F10
Instructor: Patrick Winston
Can multiple weak classifiers be used to make a strong one? We examine the boosting algorithm, which adjusts the weight of each classifier, and work through the math. We end with how boosting doesn't seem to overfit, and mention some applications.
License: Creative Commons BY-NC-SA
More information at http://ocw.mit.edu/terms
More courses at http://ocw.mit.edu
https://wn.com/17._Learning_Boosting
MIT 6.034 Artificial Intelligence, Fall 2010
View the complete course: http://ocw.mit.edu/6-034F10
Instructor: Patrick Winston
Can multiple weak classifiers be used to make a strong one? We examine the boosting algorithm, which adjusts the weight of each classifier, and work through the math. We end with how boosting doesn't seem to overfit, and mention some applications.
License: Creative Commons BY-NC-SA
More information at http://ocw.mit.edu/terms
More courses at http://ocw.mit.edu
- published: 10 Jan 2014
- views: 97696
Polymer Developer Summit 2017 - Live Stream Day 1
- Order: Reorder
- Duration: 7:42:17
- Updated: 22 Aug 2017
- views: 0
Check out the live stream on Day 1 of the Polymer Developer Summit 2017, Copenhagen.
Join us for two days of talks, codelabs, and breakout sessions from the Po...
Check out the live stream on Day 1 of the Polymer Developer Summit 2017, Copenhagen.
Join us for two days of talks, codelabs, and breakout sessions from the Polymer team, Googlers and major companies using Polymer and Web Components.
Subscribe to the Google Chrome Developers channel: http://goo.gl/LLLNvf
Music by Terra Monk: https://goo.gl/hLGjvK
https://wn.com/Polymer_Developer_Summit_2017_Live_Stream_Day_1
Check out the live stream on Day 1 of the Polymer Developer Summit 2017, Copenhagen.
Join us for two days of talks, codelabs, and breakout sessions from the Polymer team, Googlers and major companies using Polymer and Web Components.
Subscribe to the Google Chrome Developers channel: http://goo.gl/LLLNvf
Music by Terra Monk: https://goo.gl/hLGjvK
- published: 22 Aug 2017
- views: 0
One Page WordPress Website Tutorial & WordPress Parallax Website Tutorial using the Divi Theme
- Order: Reorder
- Duration: 39:29
- Updated: 15 Jul 2017
- views: 222
In this tutorial we are going to create a one page WordPress website. As a bonus we going to use the parallax effect and create a WordPress Parallax Website tut...
In this tutorial we are going to create a one page WordPress website. As a bonus we going to use the parallax effect and create a WordPress Parallax Website tutorial.
Get The Divi Theme (affiliate link):
http://www.elegantthemes.com/affiliates/idevaffiliate.php?id=26271&tid1;=yt&tid2;=one-page
Creating a one page website can be a great option. If your product or service is simple it can be a great way to deliver your message to your viewers. You can even link with in your one page website to specific sections. This will allow you to create a website menu or to create external links that will go to a specific part of the webpage. Watch the video or check the index below to see specifically how to do that.
This tutorial features a WordPress parallax website. In this specific example the parallax effect is used to give the appearance that the images are changing on the screen of the phone. I saw this and thought it was a pretty neat effect so I wanted to share with you how to do this. You can also use this tutorial to create a standard WordPress parallax website by simply using your own images and alternating between parallax and non parallax sections on your own website.
Video Index:
4:04 How to make a full height section
8:28 Setting a custom color palette in Divi
9:19 Adding the first parallax section
11:20 Using the Divi wireframe view
12:38 Using the blurb module to create a bullet list
15:38 How the parallax effect works on this website
17:08 Using a specialty section
17:16 Placing two buttons side by side
22:29 Placing images side by side
25:33 Creating a gradient background in the Divi theme
29:09 Customizing a section of your webpage for mobile devices
32:00 Creating a one page website
32:14 Adding dot navigation to your website
32:51 Setting creating links with in a webpage
35:05 Making your menu link to different places on the same page
35:54 Making a menu for a one page website.
Where to find free images for your website:
http://www.realwebsitehints.com/free-images-to-use-on-your-next-website-project/
Download the image files so that you can follow along with this tutorial series.
http://demo-one-page-website-files.s3.amazonaws.com/One%20Page%20Website%20Files.zip
https://wn.com/One_Page_Wordpress_Website_Tutorial_Wordpress_Parallax_Website_Tutorial_Using_The_Divi_Theme
In this tutorial we are going to create a one page WordPress website. As a bonus we going to use the parallax effect and create a WordPress Parallax Website tutorial.
Get The Divi Theme (affiliate link):
http://www.elegantthemes.com/affiliates/idevaffiliate.php?id=26271&tid1;=yt&tid2;=one-page
Creating a one page website can be a great option. If your product or service is simple it can be a great way to deliver your message to your viewers. You can even link with in your one page website to specific sections. This will allow you to create a website menu or to create external links that will go to a specific part of the webpage. Watch the video or check the index below to see specifically how to do that.
This tutorial features a WordPress parallax website. In this specific example the parallax effect is used to give the appearance that the images are changing on the screen of the phone. I saw this and thought it was a pretty neat effect so I wanted to share with you how to do this. You can also use this tutorial to create a standard WordPress parallax website by simply using your own images and alternating between parallax and non parallax sections on your own website.
Video Index:
4:04 How to make a full height section
8:28 Setting a custom color palette in Divi
9:19 Adding the first parallax section
11:20 Using the Divi wireframe view
12:38 Using the blurb module to create a bullet list
15:38 How the parallax effect works on this website
17:08 Using a specialty section
17:16 Placing two buttons side by side
22:29 Placing images side by side
25:33 Creating a gradient background in the Divi theme
29:09 Customizing a section of your webpage for mobile devices
32:00 Creating a one page website
32:14 Adding dot navigation to your website
32:51 Setting creating links with in a webpage
35:05 Making your menu link to different places on the same page
35:54 Making a menu for a one page website.
Where to find free images for your website:
http://www.realwebsitehints.com/free-images-to-use-on-your-next-website-project/
Download the image files so that you can follow along with this tutorial series.
http://demo-one-page-website-files.s3.amazonaws.com/One%20Page%20Website%20Files.zip
- published: 15 Jul 2017
- views: 222
Joe Parrish: "To Mars and Back - Technologies for a Potential Mars [...]" | Talks at Google
- Order: Reorder
- Duration: 1:03:47
- Updated: 02 Aug 2017
- views: 1569
After decades of (mostly) successful one-way missions from Earth to Mars, NASA is now considering the possibility of returning scientifically-selected samples o...
After decades of (mostly) successful one-way missions from Earth to Mars, NASA is now considering the possibility of returning scientifically-selected samples of Mars rock, soil, and atmosphere to Earth for detailed analysis in our most capable laboratories. The Mars Sample Return mission is a fascinating systems engineering challenge. It involves all of the usual operations of a Mars rover mission, but adds new functions to package and launch the samples into Mars orbit, capture them, and return them safely to Earth. Because the Mars samples may contain biologically active materials, prudence dictates that we treat the samples as potentially hazardous unless contained or sterilized. A number of new technologies are needed to enable this mission: (1) a Mars Ascent Vehicle (MAV) to bring the samples from Mars surface to Mars orbit, (2) a method of rendezvousing with and capturing the samples once in Mars orbit, and (3) a method for breaking the chain of contact with Mars surface material and ensuring that the Mars samples remain contained throughout all remaining mission phases including a hard landing on the ground at Earth. This talk will highlight some of the most critical technologies being developed for the Mars Sample Return mission.
Joe Parrish is currently the Deputy Manager of the Mars Program Formulation Office at the NASA Jet Propulsion Laboratory (JPL) in Pasadena, CA. He also manages Mars Technology Development at JPL, specifically targeting the enabling technologies for Mars Sample Return. Joe previously served as Robotic Systems Architect for the International Space Station Program, Program Executive in the Office of Space Science at NASA Headquarters, president of a small aerospace firm in Cambridge, MA, and as NASA's Deputy Chief Technologist. Joe holds Bachelor’s and Master’s degrees in Aeronautics and Astronautics from MIT.
https://wn.com/Joe_Parrish_To_Mars_And_Back_Technologies_For_A_Potential_Mars_..._|_Talks_At_Google
After decades of (mostly) successful one-way missions from Earth to Mars, NASA is now considering the possibility of returning scientifically-selected samples of Mars rock, soil, and atmosphere to Earth for detailed analysis in our most capable laboratories. The Mars Sample Return mission is a fascinating systems engineering challenge. It involves all of the usual operations of a Mars rover mission, but adds new functions to package and launch the samples into Mars orbit, capture them, and return them safely to Earth. Because the Mars samples may contain biologically active materials, prudence dictates that we treat the samples as potentially hazardous unless contained or sterilized. A number of new technologies are needed to enable this mission: (1) a Mars Ascent Vehicle (MAV) to bring the samples from Mars surface to Mars orbit, (2) a method of rendezvousing with and capturing the samples once in Mars orbit, and (3) a method for breaking the chain of contact with Mars surface material and ensuring that the Mars samples remain contained throughout all remaining mission phases including a hard landing on the ground at Earth. This talk will highlight some of the most critical technologies being developed for the Mars Sample Return mission.
Joe Parrish is currently the Deputy Manager of the Mars Program Formulation Office at the NASA Jet Propulsion Laboratory (JPL) in Pasadena, CA. He also manages Mars Technology Development at JPL, specifically targeting the enabling technologies for Mars Sample Return. Joe previously served as Robotic Systems Architect for the International Space Station Program, Program Executive in the Office of Space Science at NASA Headquarters, president of a small aerospace firm in Cambridge, MA, and as NASA's Deputy Chief Technologist. Joe holds Bachelor’s and Master’s degrees in Aeronautics and Astronautics from MIT.
- published: 02 Aug 2017
- views: 1569
Variable Selection with Error Control: Another Look at Stability Selection
- Order: Reorder
- Duration: 47:51
- Updated: 27 Sep 2013
- views: 283
Richard Samworth, University of Cambridge
Succinct Data Representations and Applications
http://simons.berkeley.edu/talks/richard-samworth-2013-09-18
Richard Samworth, University of Cambridge
Succinct Data Representations and Applications
http://simons.berkeley.edu/talks/richard-samworth-2013-09-18
https://wn.com/Variable_Selection_With_Error_Control_Another_Look_At_Stability_Selection
Richard Samworth, University of Cambridge
Succinct Data Representations and Applications
http://simons.berkeley.edu/talks/richard-samworth-2013-09-18
- published: 27 Sep 2013
- views: 283
Fixed Effects vs Random Effects
- Order: Reorder
- Duration: 26:22
- Updated: 15 Jun 2012
- views: 117382
An introduction to the difference between fixed effects and random effects models, and the Hausman Test for Panel Data models.
An introduction to the difference between fixed effects and random effects models, and the Hausman Test for Panel Data models.
https://wn.com/Fixed_Effects_Vs_Random_Effects
An introduction to the difference between fixed effects and random effects models, and the Hausman Test for Panel Data models.
- published: 15 Jun 2012
- views: 117382
Complex forms with Advanced Directives in AngularJS
- Order: Reorder
- Duration: 1:10:35
- Updated: 26 Nov 2014
- views: 74084
Announcements (Igor Minar)
slides - http://goo.gl/0RfNZM
Main Talk:
Complex forms with advanced directives in AngularJS
Speaker: Matias Niemelä (bio below)
Sl...
Announcements (Igor Minar)
slides - http://goo.gl/0RfNZM
Main Talk:
Complex forms with advanced directives in AngularJS
Speaker: Matias Niemelä (bio below)
Slides: http://goo.gl/SuJVwA
Developing forms in Angular is a challenging task since there are so many moving parts involved. Should we be tossing everything into a large controller? Is there such a thing as too much HTML code? Should we be using more directives and, if so, how can they share form data in a smart and efficient manner? Is there a right way to go about
doing this?
By intelligently using directives in our template code, we can always improve the flexibility and reusability of our form-based code. Let’s explore the best practices and new features of AngularJS for form building and construct a dynamic survey-building tool from start to finish.
Bio
Matias Niemelä is a member of the AngularJS Core Team and authored AngularJS animation API NgAnimate. He has been building web applications for ten years across the full spectrum of front-end, backend, server ops, design, UX, content and database design. Matias writes regularly at yearofmoo.com where he posts in-depth articles on AngularJS and other web technologies.
Lightning Talk
BenchPress: Performance Testing Framework (Jeff Cross)
slides: https://github.com/jeffbcross/bp-lightning
https://wn.com/Complex_Forms_With_Advanced_Directives_In_Angularjs
Announcements (Igor Minar)
slides - http://goo.gl/0RfNZM
Main Talk:
Complex forms with advanced directives in AngularJS
Speaker: Matias Niemelä (bio below)
Slides: http://goo.gl/SuJVwA
Developing forms in Angular is a challenging task since there are so many moving parts involved. Should we be tossing everything into a large controller? Is there such a thing as too much HTML code? Should we be using more directives and, if so, how can they share form data in a smart and efficient manner? Is there a right way to go about
doing this?
By intelligently using directives in our template code, we can always improve the flexibility and reusability of our form-based code. Let’s explore the best practices and new features of AngularJS for form building and construct a dynamic survey-building tool from start to finish.
Bio
Matias Niemelä is a member of the AngularJS Core Team and authored AngularJS animation API NgAnimate. He has been building web applications for ten years across the full spectrum of front-end, backend, server ops, design, UX, content and database design. Matias writes regularly at yearofmoo.com where he posts in-depth articles on AngularJS and other web technologies.
Lightning Talk
BenchPress: Performance Testing Framework (Jeff Cross)
slides: https://github.com/jeffbcross/bp-lightning
- published: 26 Nov 2014
- views: 74084
Double Machine Learning for Causal and Treatment Effects
- Order: Reorder
- Duration: 39:30
- Updated: 30 Oct 2016
- views: 1524
Victor Chernozhukov of the Massachusetts Institute of Technology provides a general framework for estimating and drawing inference about a low-dimensional par...
Victor Chernozhukov of the Massachusetts Institute of Technology provides a general framework for estimating and drawing inference about a low-dimensional parameter in the presence of a high-dimensional nuisance parameter using a generation of nonparametric statistical (machine learning) methods.
https://wn.com/Double_Machine_Learning_For_Causal_And_Treatment_Effects
Victor Chernozhukov of the Massachusetts Institute of Technology provides a general framework for estimating and drawing inference about a low-dimensional parameter in the presence of a high-dimensional nuisance parameter using a generation of nonparametric statistical (machine learning) methods.
- published: 30 Oct 2016
- views: 1524
The Linear Model (Regression Part I)
- Order: Reorder
- Duration: 50:43
- Updated: 27 Jan 2013
- views: 62500
Lecture given at the University of Sussex 2012. Relates to the Regression chapter of my textbooks. Introduces the linear model (Regression). Discusses what simp...
Lecture given at the University of Sussex 2012. Relates to the Regression chapter of my textbooks. Introduces the linear model (Regression). Discusses what simple and multiple regression are, what the b values represent, and how to test the fit of the model with R-square and the F-Ratio. It also has a description of bootstrapping involving a pink hippo, what more can you ask for?
https://wn.com/The_Linear_Model_(Regression_Part_I)
Lecture given at the University of Sussex 2012. Relates to the Regression chapter of my textbooks. Introduces the linear model (Regression). Discusses what simple and multiple regression are, what the b values represent, and how to test the fit of the model with R-square and the F-Ratio. It also has a description of bootstrapping involving a pink hippo, what more can you ask for?
- published: 27 Jan 2013
- views: 62500
Try DJANGO TUTORIAL Series (v1.11) // Learn Django Version 1.11
- Order: Reorder
- Duration: 8:05:58
- Updated: 06 Jul 2017
- views: 24612
Learn Django Basics in the Try Django Tutorial Series (2017). This series is a step-by-step tutorial covering the basics of the Django web framework. Jump to se...
Learn Django Basics in the Try Django Tutorial Series (2017). This series is a step-by-step tutorial covering the basics of the Django web framework. Jump to sections below:
2 - Walkthrough (0:03:54)
3 - Getting Started with Django (0:07:48)
4 - Four Your Reference (0:31:58)
5 - What Django Does (0:34:38)
6 - Rendering HTML (0:45:15)
7 - Render a Django Template (0:50:02)
8 - Context in Django Templates (0:59:18)
9 - Template Inheritance (1:08:39)
10 - Include Template Tag (1:22:45)
11 - Reactivate Virtualenv (1:28:48)
12 - Class Based Views (1:30:02)
13 - Template View (1:38:31)
14 - Remembering Things with Models (1:46:04)
15 - More on Model Fields (1:57:10)
16 - Displaying Saved Data (2:06:12)
17 - Understanding QuerySets (2:16:02)
18 - Generic List View (2:25:19)
19 - Restaurant Profile Detail (2:34:21)
20 - SlugField & the Unique Slug Generator (2:44:39)
21 - Signal for Unique Slugs (2:51:43)
22 - Slugs as URL Params (2:58:23)
23 - Get Single Items from the DB (3:00:48)
24 - Saving Data the Hard + Wrong Way (3:12:07)
25 - The Power of Django Forms (3:30:50)
26 - The Extra Power of Django Model Forms (3:40:00)
27 - Simple + Effective Validation (3:47:36)
28 - Letting Users Own Data (3:59:57)
29 - Associate User to Form Data in FBV (4:18:04)
30 - Associate User to Data in a Class Based View (4:23:34)
31 - Login Required to View (4:28:17)
32 - LoginView (4:32:20)
33 - Using Reverse to Shortcut URLs (4:43:34)
34 - Menu Items App (4:56:51)
35 - Menu Item Views (5:07:54)
36 - Limiting Form Field to QuerySet (5:24:23)
37 - Personalize Items (5:35:42)
38 - User Profile View (5:53:35)
39 - Style Profile with Bootstrap (6:07:51)
40 - Adding a Robust Search (6:11:44)
41 - Follow Users (6:33:28)
42 - Follow Button Form (6:53:30)
43 - Following Home Page Feed (7:12:55)
44 - Register View (7:38:12)
45 - Activation Keys (7:46:52)
46 - Watch & Go Live (8:02:29)
47 - Thank you (8:04:04)
-----
Amazing Starts Small. Learn to build great products with code.
Enroll: http://kirr.co/ni5fia or Subscribe: http://kirr.co/7l2sv4/
-----
Questions? http://kirr.co/wmdnzz/
Suggestions? http://kirr.co/5d7m1r/
All of my step by step projects: http://kirr.co/ni5fia/
My equipment:
Laptop: http://amzn.to/2c965EL
4k Camera: http://amzn.to/2cb0JeS
Drone/Aerial Video: http://amzn.to/2cCUgLq
Flexible/Travel Tripod for DSLR: http://amzn.to/2d13rXi (I highly recommend this too: http://amzn.to/2ckauYr)
General Purpose Tripod: http://amzn.to/2d4xNUS
Webcam: http://amzn.to/2bZEc7I
Camera Mic: http://amzn.to/2cb0PTp
Studio Mic: http://amzn.to/2cCdNc3
Mic Arm (for Studio): http://amzn.to/2cCepyd
Shock Mount (for Studio): http://amzn.to/2c97uLN
Phone: http://amzn.to/2c97R8X
Tablet (and portable external monitor) : http://amzn.to/2c5Fqdx
External Hard drives: http://amzn.to/2c5FvxV
Headphones (mic used for travel recording): http://amzn.to/2c5GGNO
https://wn.com/Try_Django_Tutorial_Series_(V1.11)_Learn_Django_Version_1.11
Learn Django Basics in the Try Django Tutorial Series (2017). This series is a step-by-step tutorial covering the basics of the Django web framework. Jump to sections below:
2 - Walkthrough (0:03:54)
3 - Getting Started with Django (0:07:48)
4 - Four Your Reference (0:31:58)
5 - What Django Does (0:34:38)
6 - Rendering HTML (0:45:15)
7 - Render a Django Template (0:50:02)
8 - Context in Django Templates (0:59:18)
9 - Template Inheritance (1:08:39)
10 - Include Template Tag (1:22:45)
11 - Reactivate Virtualenv (1:28:48)
12 - Class Based Views (1:30:02)
13 - Template View (1:38:31)
14 - Remembering Things with Models (1:46:04)
15 - More on Model Fields (1:57:10)
16 - Displaying Saved Data (2:06:12)
17 - Understanding QuerySets (2:16:02)
18 - Generic List View (2:25:19)
19 - Restaurant Profile Detail (2:34:21)
20 - SlugField & the Unique Slug Generator (2:44:39)
21 - Signal for Unique Slugs (2:51:43)
22 - Slugs as URL Params (2:58:23)
23 - Get Single Items from the DB (3:00:48)
24 - Saving Data the Hard + Wrong Way (3:12:07)
25 - The Power of Django Forms (3:30:50)
26 - The Extra Power of Django Model Forms (3:40:00)
27 - Simple + Effective Validation (3:47:36)
28 - Letting Users Own Data (3:59:57)
29 - Associate User to Form Data in FBV (4:18:04)
30 - Associate User to Data in a Class Based View (4:23:34)
31 - Login Required to View (4:28:17)
32 - LoginView (4:32:20)
33 - Using Reverse to Shortcut URLs (4:43:34)
34 - Menu Items App (4:56:51)
35 - Menu Item Views (5:07:54)
36 - Limiting Form Field to QuerySet (5:24:23)
37 - Personalize Items (5:35:42)
38 - User Profile View (5:53:35)
39 - Style Profile with Bootstrap (6:07:51)
40 - Adding a Robust Search (6:11:44)
41 - Follow Users (6:33:28)
42 - Follow Button Form (6:53:30)
43 - Following Home Page Feed (7:12:55)
44 - Register View (7:38:12)
45 - Activation Keys (7:46:52)
46 - Watch & Go Live (8:02:29)
47 - Thank you (8:04:04)
-----
Amazing Starts Small. Learn to build great products with code.
Enroll: http://kirr.co/ni5fia or Subscribe: http://kirr.co/7l2sv4/
-----
Questions? http://kirr.co/wmdnzz/
Suggestions? http://kirr.co/5d7m1r/
All of my step by step projects: http://kirr.co/ni5fia/
My equipment:
Laptop: http://amzn.to/2c965EL
4k Camera: http://amzn.to/2cb0JeS
Drone/Aerial Video: http://amzn.to/2cCUgLq
Flexible/Travel Tripod for DSLR: http://amzn.to/2d13rXi (I highly recommend this too: http://amzn.to/2ckauYr)
General Purpose Tripod: http://amzn.to/2d4xNUS
Webcam: http://amzn.to/2bZEc7I
Camera Mic: http://amzn.to/2cb0PTp
Studio Mic: http://amzn.to/2cCdNc3
Mic Arm (for Studio): http://amzn.to/2cCepyd
Shock Mount (for Studio): http://amzn.to/2c97uLN
Phone: http://amzn.to/2c97R8X
Tablet (and portable external monitor) : http://amzn.to/2c5Fqdx
External Hard drives: http://amzn.to/2c5FvxV
Headphones (mic used for travel recording): http://amzn.to/2c5GGNO
- published: 06 Jul 2017
- views: 24612
Session 3, Part 2: Financial Projections
- Order: Reorder
- Duration: 1:17:56
- Updated: 28 Jul 2016
- views: 3722
MIT 15.S21 Nuts and Bolts of Business Plans, IAP 2014
View the complete course: http://ocw.mit.edu/15-S21IAP14
Instructor: Charlie Tillett
This portion of the ...
MIT 15.S21 Nuts and Bolts of Business Plans, IAP 2014
View the complete course: http://ocw.mit.edu/15-S21IAP14
Instructor: Charlie Tillett
This portion of the program will introduce some financial projection techniques based on actual business experience.
License: Creative Commons BY-NC-SA
More information at http://ocw.mit.edu/terms
More courses at http://ocw.mit.edu
https://wn.com/Session_3,_Part_2_Financial_Projections
MIT 15.S21 Nuts and Bolts of Business Plans, IAP 2014
View the complete course: http://ocw.mit.edu/15-S21IAP14
Instructor: Charlie Tillett
This portion of the program will introduce some financial projection techniques based on actual business experience.
License: Creative Commons BY-NC-SA
More information at http://ocw.mit.edu/terms
More courses at http://ocw.mit.edu
- published: 28 Jul 2016
- views: 3722
Google Developer Days Europe 2017 - Day 1 (Theatre)
- Order: Reorder
- Duration: 0:00
- Updated: 24 Aug 2017
- views: 0
Check in to the livestream to watch day 1 of GDD Europe '17! This livestream will cover all sessions taking place on the Theatre stage of the ICE Congress Cente...
Check in to the livestream to watch day 1 of GDD Europe '17! This livestream will cover all sessions taking place on the Theatre stage of the ICE Congress Center here in Krakow, Poland.
Check out the Day 1 event schedule here: https://goo.gl/MKSKfX
Google Developer Days (GDD) are global events showcasing the latest developer products and platforms from Google to help you quickly develop high quality apps, grow & retain an active user base, and tap into tools to earn more.
Music by Terra Monk: https://goo.gl/t9AkfX
#GDDEurope
https://wn.com/Google_Developer_Days_Europe_2017_Day_1_(Theatre)
Check in to the livestream to watch day 1 of GDD Europe '17! This livestream will cover all sessions taking place on the Theatre stage of the ICE Congress Center here in Krakow, Poland.
Check out the Day 1 event schedule here: https://goo.gl/MKSKfX
Google Developer Days (GDD) are global events showcasing the latest developer products and platforms from Google to help you quickly develop high quality apps, grow & retain an active user base, and tap into tools to earn more.
Music by Terra Monk: https://goo.gl/t9AkfX
#GDDEurope
- published: 24 Aug 2017
- views: 0
Frameworks: using bootstrap and codeIgniter to build awesome applications - Bret Feddern
- Order: Reorder
- Duration: 37:55
- Updated: 21 Jul 2016
- views: 329
https://elements.psu.edu/2016/sessions/frameworks-using-bootstrap-and-codeigniter-build-awesome-applications
https://elements.psu.edu/2016/sessions/frameworks-using-bootstrap-and-codeigniter-build-awesome-applications
https://wn.com/Frameworks_Using_Bootstrap_And_Codeigniter_To_Build_Awesome_Applications_Bret_Feddern
https://elements.psu.edu/2016/sessions/frameworks-using-bootstrap-and-codeigniter-build-awesome-applications
- published: 21 Jul 2016
- views: 329
How to Develop the Statistical Plan and Sample Size Calculation for the PRO of a Study
- Order: Reorder
- Duration: 46:11
- Updated: 19 Nov 2014
- views: 695
4th webinar in a series of 6 entitled Best Practices for Integrating Patient-Reported Outcomes (PROs) in Oncology Clinical Trials from the National Cancer Insti...
4th webinar in a series of 6 entitled Best Practices for Integrating Patient-Reported Outcomes (PROs) in Oncology Clinical Trials from the National Cancer Institute and the International Society for Quality of Life Research
https://wn.com/How_To_Develop_The_Statistical_Plan_And_Sample_Size_Calculation_For_The_Pro_Of_A_Study
4th webinar in a series of 6 entitled Best Practices for Integrating Patient-Reported Outcomes (PROs) in Oncology Clinical Trials from the National Cancer Institute and the International Society for Quality of Life Research
- published: 19 Nov 2014
- views: 695
Lecture 14 | Deep Reinforcement Learning
- Order: Reorder
- Duration: 1:04:01
- Updated: 11 Aug 2017
- views: 2186
In Lecture 14 we move from supervised learning to reinforcement learning (RL), in which an agent must learn to interact with an environment in order to maximize...
In Lecture 14 we move from supervised learning to reinforcement learning (RL), in which an agent must learn to interact with an environment in order to maximize its reward. We formalize reinforcement learning using the language of Markov Decision Processes (MDPs), policies, value functions, and Q-Value functions. We discuss different algorithms for reinforcement learning including Q-Learning, policy gradients, and Actor-Critic. We show how deep reinforcement learning has been used to play Atari games and to achieve super-human Go performance in AlphaGo.
Keywords: Reinforcement learning, RL, Markov decision process, MDP, Q-Learning, policy gradients, REINFORCE, actor-critic, Atari games, AlphaGo
Slides: http://cs231n.stanford.edu/slides/2017/cs231n_2017_lecture14.pdf
--------------------------------------------------------------------------------------
Convolutional Neural Networks for Visual Recognition
Instructors:
Fei-Fei Li: http://vision.stanford.edu/feifeili/
Justin Johnson: http://cs.stanford.edu/people/jcjohns/
Serena Yeung: http://ai.stanford.edu/~syyeung/
Computer Vision has become ubiquitous in our society, with applications in search, image understanding, apps, mapping, medicine, drones, and self-driving cars. Core to many of these applications are visual recognition tasks such as image classification, localization and detection. Recent developments in neural network (aka “deep learning”) approaches have greatly advanced the performance of these state-of-the-art visual recognition systems. This lecture collection is a deep dive into details of the deep learning architectures with a focus on learning end-to-end models for these tasks, particularly image classification. From this lecture collection, students will learn to implement, train and debug their own neural networks and gain a detailed understanding of cutting-edge research in computer vision.
Website:
http://cs231n.stanford.edu/
For additional learning opportunities please visit:
http://online.stanford.edu/
https://wn.com/Lecture_14_|_Deep_Reinforcement_Learning
In Lecture 14 we move from supervised learning to reinforcement learning (RL), in which an agent must learn to interact with an environment in order to maximize its reward. We formalize reinforcement learning using the language of Markov Decision Processes (MDPs), policies, value functions, and Q-Value functions. We discuss different algorithms for reinforcement learning including Q-Learning, policy gradients, and Actor-Critic. We show how deep reinforcement learning has been used to play Atari games and to achieve super-human Go performance in AlphaGo.
Keywords: Reinforcement learning, RL, Markov decision process, MDP, Q-Learning, policy gradients, REINFORCE, actor-critic, Atari games, AlphaGo
Slides: http://cs231n.stanford.edu/slides/2017/cs231n_2017_lecture14.pdf
--------------------------------------------------------------------------------------
Convolutional Neural Networks for Visual Recognition
Instructors:
Fei-Fei Li: http://vision.stanford.edu/feifeili/
Justin Johnson: http://cs.stanford.edu/people/jcjohns/
Serena Yeung: http://ai.stanford.edu/~syyeung/
Computer Vision has become ubiquitous in our society, with applications in search, image understanding, apps, mapping, medicine, drones, and self-driving cars. Core to many of these applications are visual recognition tasks such as image classification, localization and detection. Recent developments in neural network (aka “deep learning”) approaches have greatly advanced the performance of these state-of-the-art visual recognition systems. This lecture collection is a deep dive into details of the deep learning architectures with a focus on learning end-to-end models for these tasks, particularly image classification. From this lecture collection, students will learn to implement, train and debug their own neural networks and gain a detailed understanding of cutting-edge research in computer vision.
Website:
http://cs231n.stanford.edu/
For additional learning opportunities please visit:
http://online.stanford.edu/
- published: 11 Aug 2017
- views: 2186
Resampling (statistics)
- Order: Reorder
- Duration: 35:03
- Updated: 01 Nov 2015
- views: 213
In statistics, resampling is any of a variety of methods for doing one of the following:
Estimating the precision of sample statistics by using subsets of avail...
In statistics, resampling is any of a variety of methods for doing one of the following:
Estimating the precision of sample statistics by using subsets of available data or drawing randomly with replacement from a set of data points
This video is targeted to blind users.
Attribution:
Article text available under CC-BY-SA
Creative Commons image source in video
https://wn.com/Resampling_(Statistics)
In statistics, resampling is any of a variety of methods for doing one of the following:
Estimating the precision of sample statistics by using subsets of available data or drawing randomly with replacement from a set of data points
This video is targeted to blind users.
Attribution:
Article text available under CC-BY-SA
Creative Commons image source in video
- published: 01 Nov 2015
- views: 213
- Playlist
- Chat
8:40
Bootstrap Sample Technique in R software
Bootstrap is very simple technique used for small samples. Major takeaways from video are:...
published: 08 Jul 2015
Bootstrap Sample Technique in R software
Bootstrap Sample Technique in R software
- Report rights infringement
- published: 08 Jul 2015
- views: 7495
4:03
Understanding Confidence Intervals: Statistics Help
This short video gives an explanation of the concept of confidence intervals, with helpful...
published: 27 Mar 2013
Understanding Confidence Intervals: Statistics Help
Understanding Confidence Intervals: Statistics Help
- Report rights infringement
- published: 27 Mar 2013
- views: 447895
5:06
Heteroscedasticity Adjusted Standard Errors - SPSS (part 1)
http://how2stats.blogspot.com/2011/09/heteroskedasticity-adjusted-standard.html
I demonst...
published: 30 Jun 2011
Heteroscedasticity Adjusted Standard Errors - SPSS (part 1)
Heteroscedasticity Adjusted Standard Errors - SPSS (part 1)
- Report rights infringement
- published: 30 Jun 2011
- views: 17357
37:21
SPSS - Mediation Analysis with PROCESS
Lecturer: Dr. Erin M. Buchanan
Missouri State University
Spring 2015
Mediation analysis v...
published: 16 Apr 2015
SPSS - Mediation Analysis with PROCESS
SPSS - Mediation Analysis with PROCESS
- Report rights infringement
- published: 16 Apr 2015
- views: 58704
7:38
Bootstrap 3 Tutorials - #6 - Modals (Popup Boxes)
In this Bootstrap 3 Tutorial, we will be creating a popup modal which can display text, im...
published: 15 Sep 2013
Bootstrap 3 Tutorials - #6 - Modals (Popup Boxes)
Bootstrap 3 Tutorials - #6 - Modals (Popup Boxes)
- Report rights infringement
- published: 15 Sep 2013
- views: 153089
1:16
Satorra-Bentler adjustments for SEM
Stata 14 lets you estimate the Satorra-Bentler adjusted model test. In this short video w...
published: 07 Apr 2015
Satorra-Bentler adjustments for SEM
Satorra-Bentler adjustments for SEM
- Report rights infringement
- published: 07 Apr 2015
- views: 2815
7:04
Advancing the Blog: 9 - Django Crispy Forms
Advancing the Blog: 9 - Django Crispy Forms
** Advancing the Blog ** is an extended look ...
published: 24 Mar 2016
Advancing the Blog: 9 - Django Crispy Forms
Advancing the Blog: 9 - Django Crispy Forms
- Report rights infringement
- published: 24 Mar 2016
- views: 8122
6:31
Machine Learning :: Model Selection & Cross Validation
A brief tutorial on how to use the technique of Cross Validation to estimate machine learn...
published: 19 Jan 2012
Machine Learning :: Model Selection & Cross Validation
Machine Learning :: Model Selection & Cross Validation
- Report rights infringement
- published: 19 Jan 2012
- views: 21583
11:42
Two-step Cluster Analysis in SPSS
This is a two-step cluster analysis using SPSS. I do this to demonstrate how to explore pr...
published: 20 Mar 2012
Two-step Cluster Analysis in SPSS
Two-step Cluster Analysis in SPSS
- Report rights infringement
- published: 20 Mar 2012
- views: 124736
14:21
ANOVA with Bonferroni Correction (Bonferroni Post Hoc Test) in SPSS
This video demonstrates how to conduct an ANOVA with a Bonferroni correction (Bonferroni p...
published: 10 Nov 2015
ANOVA with Bonferroni Correction (Bonferroni Post Hoc Test) in SPSS
ANOVA with Bonferroni Correction (Bonferroni Post Hoc Test) in SPSS
- Report rights infringement
- published: 10 Nov 2015
- views: 22629
4:51
5 MIN TUTORIAL - Responsive Web Design - SIMPLE EASY
Facebook: https://www.facebook.com/OfficialTomHeylen
RESPONSIVE WEB DESIGN TUTORIAL FOR B...
published: 07 Oct 2014
5 MIN TUTORIAL - Responsive Web Design - SIMPLE EASY
5 MIN TUTORIAL - Responsive Web Design - SIMPLE EASY
- Report rights infringement
- published: 07 Oct 2014
- views: 27552
5:55
Common Method Bias
This video takes you through three approaches for detecting common method bias: Harman's s...
published: 25 Mar 2011
Common Method Bias
Common Method Bias
- Report rights infringement
- published: 25 Mar 2011
- views: 66405
10:07
Model fit during a Confirmatory Factor Analysis (CFA) in AMOS
This is a model fit exercise during a CFA in AMOS. I demonstrate how to build a good looki...
published: 25 Mar 2011
Model fit during a Confirmatory Factor Analysis (CFA) in AMOS
Model fit during a Confirmatory Factor Analysis (CFA) in AMOS
- Report rights infringement
- published: 25 Mar 2011
- views: 303972
12:34
How to Use SPSS- Receiver Operating Characteristics (ROC) Curve Part 1
Determing the accuracy of a diagnostic-evaluative test in predicting a dichotomous outcome...
published: 14 May 2013
How to Use SPSS- Receiver Operating Characteristics (ROC) Curve Part 1
How to Use SPSS- Receiver Operating Characteristics (ROC) Curve Part 1
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- published: 14 May 2013
- views: 98362
- Playlist
- Chat
8:40
Bootstrap Sample Technique in R software
Bootstrap is very simple technique used for small samples. Major takeaways from video are:...
published: 08 Jul 2015
Bootstrap Sample Technique in R software
Bootstrap Sample Technique in R software
- Report rights infringement
- published: 08 Jul 2015
- views: 7495
4:03
Understanding Confidence Intervals: Statistics Help
This short video gives an explanation of the concept of confidence intervals, with helpful...
published: 27 Mar 2013
Understanding Confidence Intervals: Statistics Help
Understanding Confidence Intervals: Statistics Help
- Report rights infringement
- published: 27 Mar 2013
- views: 447895
5:06
Heteroscedasticity Adjusted Standard Errors - SPSS (part 1)
http://how2stats.blogspot.com/2011/09/heteroskedasticity-adjusted-standard.html
I demonst...
published: 30 Jun 2011
Heteroscedasticity Adjusted Standard Errors - SPSS (part 1)
Heteroscedasticity Adjusted Standard Errors - SPSS (part 1)
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- published: 30 Jun 2011
- views: 17357
37:21
SPSS - Mediation Analysis with PROCESS
Lecturer: Dr. Erin M. Buchanan
Missouri State University
Spring 2015
Mediation analysis v...
published: 16 Apr 2015
SPSS - Mediation Analysis with PROCESS
SPSS - Mediation Analysis with PROCESS
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- published: 16 Apr 2015
- views: 58704
7:38
Bootstrap 3 Tutorials - #6 - Modals (Popup Boxes)
In this Bootstrap 3 Tutorial, we will be creating a popup modal which can display text, im...
published: 15 Sep 2013
Bootstrap 3 Tutorials - #6 - Modals (Popup Boxes)
Bootstrap 3 Tutorials - #6 - Modals (Popup Boxes)
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- published: 15 Sep 2013
- views: 153089
1:16
Satorra-Bentler adjustments for SEM
Stata 14 lets you estimate the Satorra-Bentler adjusted model test. In this short video w...
published: 07 Apr 2015
Satorra-Bentler adjustments for SEM
Satorra-Bentler adjustments for SEM
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- published: 07 Apr 2015
- views: 2815
7:04
Advancing the Blog: 9 - Django Crispy Forms
Advancing the Blog: 9 - Django Crispy Forms
** Advancing the Blog ** is an extended look ...
published: 24 Mar 2016
Advancing the Blog: 9 - Django Crispy Forms
Advancing the Blog: 9 - Django Crispy Forms
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- published: 24 Mar 2016
- views: 8122
6:31
Machine Learning :: Model Selection & Cross Validation
A brief tutorial on how to use the technique of Cross Validation to estimate machine learn...
published: 19 Jan 2012
Machine Learning :: Model Selection & Cross Validation
Machine Learning :: Model Selection & Cross Validation
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- published: 19 Jan 2012
- views: 21583
11:42
Two-step Cluster Analysis in SPSS
This is a two-step cluster analysis using SPSS. I do this to demonstrate how to explore pr...
published: 20 Mar 2012
Two-step Cluster Analysis in SPSS
Two-step Cluster Analysis in SPSS
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- published: 20 Mar 2012
- views: 124736
14:21
ANOVA with Bonferroni Correction (Bonferroni Post Hoc Test) in SPSS
This video demonstrates how to conduct an ANOVA with a Bonferroni correction (Bonferroni p...
published: 10 Nov 2015
ANOVA with Bonferroni Correction (Bonferroni Post Hoc Test) in SPSS
ANOVA with Bonferroni Correction (Bonferroni Post Hoc Test) in SPSS
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- published: 10 Nov 2015
- views: 22629
4:51
5 MIN TUTORIAL - Responsive Web Design - SIMPLE EASY
Facebook: https://www.facebook.com/OfficialTomHeylen
RESPONSIVE WEB DESIGN TUTORIAL FOR B...
published: 07 Oct 2014
5 MIN TUTORIAL - Responsive Web Design - SIMPLE EASY
5 MIN TUTORIAL - Responsive Web Design - SIMPLE EASY
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- published: 07 Oct 2014
- views: 27552
5:55
Common Method Bias
This video takes you through three approaches for detecting common method bias: Harman's s...
published: 25 Mar 2011
Common Method Bias
Common Method Bias
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- published: 25 Mar 2011
- views: 66405
10:07
Model fit during a Confirmatory Factor Analysis (CFA) in AMOS
This is a model fit exercise during a CFA in AMOS. I demonstrate how to build a good looki...
published: 25 Mar 2011
Model fit during a Confirmatory Factor Analysis (CFA) in AMOS
Model fit during a Confirmatory Factor Analysis (CFA) in AMOS
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- published: 25 Mar 2011
- views: 303972
12:34
How to Use SPSS- Receiver Operating Characteristics (ROC) Curve Part 1
Determing the accuracy of a diagnostic-evaluative test in predicting a dichotomous outcome...
published: 14 May 2013
How to Use SPSS- Receiver Operating Characteristics (ROC) Curve Part 1
How to Use SPSS- Receiver Operating Characteristics (ROC) Curve Part 1
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- published: 14 May 2013
- views: 98362
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37:21
SPSS - Mediation Analysis with PROCESS
Lecturer: Dr. Erin M. Buchanan
Missouri State University
Spring 2015
Mediation analysis v...
published: 16 Apr 2015
SPSS - Mediation Analysis with PROCESS
SPSS - Mediation Analysis with PROCESS
- Report rights infringement
- published: 16 Apr 2015
- views: 58704
45:01
How to Use SPSS-Replacing Missing Data Using Multiple Imputation (Regression Method)
Technique for replacing missing data using the regression method. Appropriate for data tha...
published: 28 Mar 2013
How to Use SPSS-Replacing Missing Data Using Multiple Imputation (Regression Method)
How to Use SPSS-Replacing Missing Data Using Multiple Imputation (Regression Method)
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- published: 28 Mar 2013
- views: 127478
59:35
Mohnish Pabrai: "Dhandho. Heads I win; Tails I don't lose much" | Talks at Google
Description:
In a straightforward and accessible manner, The Dhandho Investor lays out th...
published: 29 Jul 2014
Mohnish Pabrai: "Dhandho. Heads I win; Tails I don't lose much" | Talks at Google
Mohnish Pabrai: "Dhandho. Heads I win; Tails I don't lose much" | Talks at Google
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- published: 29 Jul 2014
- views: 79713
29:09
The New Statistics: Confidence Intervals, NHST, and p Values (Workshop Part 1)
Featuring
Geoff Cumming
La Trobe University, Australia
Leading scholars in psychology and...
published: 15 Sep 2014
The New Statistics: Confidence Intervals, NHST, and p Values (Workshop Part 1)
The New Statistics: Confidence Intervals, NHST, and p Values (Workshop Part 1)
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- published: 15 Sep 2014
- views: 16722
51:40
17. Learning: Boosting
MIT 6.034 Artificial Intelligence, Fall 2010
View the complete course: http://ocw.mit.edu/...
published: 10 Jan 2014
17. Learning: Boosting
17. Learning: Boosting
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- published: 10 Jan 2014
- views: 97696
7:42:17
Polymer Developer Summit 2017 - Live Stream Day 1
Check out the live stream on Day 1 of the Polymer Developer Summit 2017, Copenhagen.
Join...
published: 22 Aug 2017
Polymer Developer Summit 2017 - Live Stream Day 1
Polymer Developer Summit 2017 - Live Stream Day 1
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- published: 22 Aug 2017
- views: 0
39:29
One Page WordPress Website Tutorial & WordPress Parallax Website Tutorial using the Divi Theme
In this tutorial we are going to create a one page WordPress website. As a bonus we going ...
published: 15 Jul 2017
One Page WordPress Website Tutorial & WordPress Parallax Website Tutorial using the Divi Theme
One Page WordPress Website Tutorial & WordPress Parallax Website Tutorial using the Divi Theme
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- published: 15 Jul 2017
- views: 222
1:03:47
Joe Parrish: "To Mars and Back - Technologies for a Potential Mars [...]" | Talks at Google
After decades of (mostly) successful one-way missions from Earth to Mars, NASA is now cons...
published: 02 Aug 2017
Joe Parrish: "To Mars and Back - Technologies for a Potential Mars [...]" | Talks at Google
Joe Parrish: "To Mars and Back - Technologies for a Potential Mars [...]" | Talks at Google
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- published: 02 Aug 2017
- views: 1569
47:51
Variable Selection with Error Control: Another Look at Stability Selection
Richard Samworth, University of Cambridge
Succinct Data Representations and Applications
h...
published: 27 Sep 2013
Variable Selection with Error Control: Another Look at Stability Selection
Variable Selection with Error Control: Another Look at Stability Selection
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- published: 27 Sep 2013
- views: 283
26:22
Fixed Effects vs Random Effects
An introduction to the difference between fixed effects and random effects models, and the...
published: 15 Jun 2012
Fixed Effects vs Random Effects
Fixed Effects vs Random Effects
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- published: 15 Jun 2012
- views: 117382
1:10:35
Complex forms with Advanced Directives in AngularJS
Announcements (Igor Minar)
slides - http://goo.gl/0RfNZM
Main Talk:
Complex forms with ad...
published: 26 Nov 2014
Complex forms with Advanced Directives in AngularJS
Complex forms with Advanced Directives in AngularJS
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- published: 26 Nov 2014
- views: 74084
39:30
Double Machine Learning for Causal and Treatment Effects
Victor Chernozhukov of the Massachusetts Institute of Technology provides a general frame...
published: 30 Oct 2016
Double Machine Learning for Causal and Treatment Effects
Double Machine Learning for Causal and Treatment Effects
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- published: 30 Oct 2016
- views: 1524
50:43
The Linear Model (Regression Part I)
Lecture given at the University of Sussex 2012. Relates to the Regression chapter of my te...
published: 27 Jan 2013
The Linear Model (Regression Part I)
The Linear Model (Regression Part I)
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- published: 27 Jan 2013
- views: 62500
8:05:58
Try DJANGO TUTORIAL Series (v1.11) // Learn Django Version 1.11
Learn Django Basics in the Try Django Tutorial Series (2017). This series is a step-by-ste...
published: 06 Jul 2017
Try DJANGO TUTORIAL Series (v1.11) // Learn Django Version 1.11
Try DJANGO TUTORIAL Series (v1.11) // Learn Django Version 1.11
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- published: 06 Jul 2017
- views: 24612
SPSS - Mediation Analysis with PROCESS...
How to Use SPSS-Replacing Missing Data Using Multi...
Mohnish Pabrai: "Dhandho. Heads I win; Tails I don...
The New Statistics: Confidence Intervals, NHST, an...
17. Learning: Boosting...
Polymer Developer Summit 2017 - Live Stream Day 1...
One Page WordPress Website Tutorial & WordPress Pa...
Joe Parrish: "To Mars and Back - Technologies for ...
Variable Selection with Error Control: Another Loo...
Fixed Effects vs Random Effects...
Complex forms with Advanced Directives in AngularJ...
Double Machine Learning for Causal and Treatment E...
The Linear Model (Regression Part I)...
Try DJANGO TUTORIAL Series (v1.11) // Learn Django...
Session 3, Part 2: Financial Projections...
Google Developer Days Europe 2017 - Day 1 (Theatre...
Frameworks: using bootstrap and codeIgniter to bui...
How to Develop the Statistical Plan and Sample Siz...
Lecture 14 | Deep Reinforcement Learning...
Resampling (statistics)...
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Death Toll Rises To 60 In Powerful Mexican Earthquake
Edit WorldNews.com 08 Sep 2017
At least 60 people were reported dead following one of the most powerful earthquakes ever recorded in Mexico, The Associated Press reported.The quake struck off the country's southern coast, toppling hundreds of buildings and sending panicked people fleeing into the streets in the middle of the night ... Manuel Velasco said."There is damage to hospitals that have lost energy. Homes, schools and hospitals have been damaged."...
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Hurricane Jose Strengthens To Category 4 Storm
Edit WorldNews.com 08 Sep 2017
According to the National Hurricane Center, Hurricane Jose intensified to an “extremely dangerous” Category 4 storm on Friday with maximum sustained winds near 150 mph, CNN reported. The storm is east of the Leeward Islands and is expected to travel west-northwest into the Atlantic Ocean in the upcoming days, the report said. As of Friday at 11 a.m., a hurricane watch was put in place in Antigua, Barbuda and Anguilla, St ... ....
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Incumbent GOP lawmakers Fed Up With Trump, Vowing Not To Run For Re-Election
Edit WorldNews.com 08 Sep 2017
U.S. President Donald Trump’s low approval ratings, his brusque style of governing and the many controversies surrounding his presidency is starting to give incumbent Republican lawmakers cold feet about running again, Raw Story reported Friday. On Thursday, Rep. Charlie Dent, a key Republican moderate in a swing Pennsylvania district, announced he would not be seeking another term....
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Hurricane Jose: storm 'almost category five' as it follows Irma's destructive path
Edit The Guardian 09 Sep 2017
The system is nearing the eastern Caribbean islands of Barbuda and Anguilla, promising further devastation in the wake of the giant Irma. Hurricane Irma. Hurricane Jose. storm 'almost category five' as it follows Irma's destructive path. The system is nearing the eastern Caribbean islands of Barbuda and Anguilla, promising further devastation in the wake of the giant Irma ... Hurricane Irma ... Read more ... almost a category 5 hurricane” ... Twitter ... ....
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World is at its most dangerous point in 30 years, says Nato chief
Edit The Independent 08 Sep 2017
The head of Nato has warned that the world is in a more dangerous position today than it has been in a generation....
Yankees-Rangers Runs
Edit Reflector 09 Sep 2017
Matt Holliday singles to center field. Didi Gregorius reaches on error ... Throwing error by Rougned Odor. Chase Headley singles to right field ... Jacoby Ellsbury singles to right field ... Gary Sanchez singles to left field ... 4 runs, 4 hits, 1 error, 1 left on ... 1 run, 1 hit, 0 errors, 0 left on ... Starlin Castro reaches on error. Fielding error by Joey Gallo ... 1 run, 1 hit, 1 error, 0 left on ... Robinson Chirinos singles to left center field....
Phillies-Nationals Runs
Edit Rocky Mount Telegram 09 Sep 2017
3 runs, 1 hit, 0 errors, 1 left on ... Howie Kendrick singles to right center field. Daniel Murphy singles to left field ... Ryan Zimmerman singles to center field ... 1 run, 3 hits, 0 errors, 2 left on ... Michael Taylor singles to left center field ... Trea Turner singles to left field ... 1 run, 2 hits, 0 errors, 1 left on ... Fielding error by Cesar Hernandez ... 4 runs, 1 hit, 1 error, 0 left on ... Howie Kendrick reaches on error ... Fielding error by Maikel Franco....
Twins-Royals Runs
Edit Rocky Mount Telegram 09 Sep 2017
Brian Dozier singles to left field ... Throwing error by Alex Gordon ... 1 run, 1 hit, 1 error, 1 left on ... Whit Merrifield singles to right field ... 1 run, 1 hit, 0 errors, 0 left on ... Eduardo Escobar singles to right field ... Brian Dozier singles to shallow center field, advances to 2nd ... 1 run, 2 hits, 0 errors, 2 left on ... 1 run, 1 hit, 0 errors, 1 left on ... Eddie Rosario singles to right center field ... 2 runs, 2 hits, 0 errors, 2 left on....
3 Key Advantages of Rapid Tooling
Edit Community news 09 Sep 2017
All the key elements of a product are designed and prepared in a single computer file which acts as the basis of the manufacturing process ... The process combines both the best elements of design and modern molding techniques ... Other advantages like the efficiency of resources and minimization of errors are definitely achieved as well ... technique....
Reds-Mets Runs
Edit Reflector 09 Sep 2017
1 run, 1 hit, 0 errors, 0 left on ... 1 run, 1 hit, 0 errors, 0 left on ... Seth Lugo singles to center field ... Brandon Nimmo singles to left field ... 2 runs, 3 hits, 0 errors, 1 left on ... Throwing error by Scooter Gennett ... 1 run, 2 hits, 1 error, 3 left on ... Scooter Gennett singles to left center field. Eugenio Suarez singles to shallow left field ... Tucker Barnhart singles to center field....
Allan Massie: Referees are right to be strict on high tackles
Edit Scotsman 09 Sep 2017
They’ll have to adjust their ways, he said, if we aren’t to end up with 11-a side. One obvious answer is of course that it’s the players who should be adjusting their ways ... Referees are right to be strict and players have to learn how to adjust and improve their tackling technique ... errors from both sides, but really remarkably few....
Rays can't overcome rare poor start from Archer
Edit MLB 09 Sep 2017
Full Game Coverage ... Brad Miller ended his no-hit bid with a one-out single in the fifth ... MOMENTS THAT MATTERED ... 3 ... LoMo error haunts Rays in fourth. The bottom of the fourth inning had already gotten off to a rocky start for Archer and the Rays, as Rafael Devers belted a double, Christian Vazquez followed with a single and Jackie Bradley Jr. added a single ... Instead, first baseman Logan Morrison let it deflect off his glove for an error ... ....
True Drew: Lefty gets 15th win as Sox top Rays
Edit MLB 09 Sep 2017
Full Game Coverage ... Brad Miller ended his no-hit bid with a one-out single in the fifth ... MOMENTS THAT MATTERED ... 3 ... LoMo error haunts Rays in fourth. The bottom of the fourth inning had already gotten off to a rocky start for Archer and the Rays, as Rafael Devers belted a double, Christian Vazquez followed with a single and Jackie Bradley Jr. added a single ... Instead, first baseman Logan Morrison let it deflect off his glove for an error ... ....
The signature wine of Araku
Edit The Hindu 09 Sep 2017
“CFTRI gave us a very encouraging feedback and said it was a good sample. In the first samples, the alcohol content is around 5 % which can be enhanced to 7 % with some modifications. The final sample will be the best versions and we are working hard on it,” says GCC Managing Director A.S.P.S ... “The CFTRI directed us to carry out some minor corrections and adjustments to improve on the final product....
Newest 70-697 Configuring Windows Devices samples exam questions
Edit Community news 09 Sep 2017
You need to identify the component that is causing the error ... Examgood 70-697 Configuring Windows Devices samples exam questions are the most effective way to pass the certification exam. With this certification, you will achieve your dreams, and become successful.With Examgood 70-697 Configuring Windows Devices samples exam questions you can pass the Microsoft 70-697 exam easily....
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