Building on two decades of development in symbolic and numeric algorithms, Mathematica 8 provides a suite of high-level functions for probability and statistics. New capabilities include the ability to compute the probability of any event or the expectation of any expression, simulate any distribution, and automatically estimate parameters or test goodness of fit for distributions. To support distributional modeling and analysis, Mathematica 8 offers the largest collection of probability distributions, as well as full support for several dozens of properties, including distribution functions, moments, quantiles, and generating functions. Mathematica 8 provides an unprecedented level of support for parametric distributions. By systematically adding distributions in common use from a wide variety of disciplines such as finance, actuarial science, communication, life science, statistics, etc., Mathematica now provides a complete parametric modeling and analysis framework. Mathematica 8 brings a high level of algorithm automation and computational aesthetics to statistical visualization. Histograms—binned or smoothed—show the shapes of distributions. Quantile and probability plots compare data to a reference distribution. Box-and-whisker and distribution charts compare the distribution shapes for several datasets. For more information about Mathematica 8, please visit: www.wolfram.com

• published: 19 Nov 2010
• views: 6102
• author: WolframResearch