From the course: Statistical Analysis with Wolfram Language
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Statistical distribution - Wolfram Language Tutorial
From the course: Statistical Analysis with Wolfram Language
Statistical distribution
- [Darren] I'm Darren Glosemeyer, lead statistics developer at Wolfram Research. And in this course, we're going to talk about distributions in Mathematica. In Mathematica, there's extremely extensive coverage of distributions, including a large list of named distributions, and we can see a short list of those here, various types of distributions, discrete, those related to normals, multivariate distributions, and so on. There's also a group of functions for constructing or deriving distributions, and these include transforms, order distributions, mixtures, and so on. Nonparametric distributions, those are distributions based on data, things like empirical distributions and smooth kernel density estimates. And there's also built-in automated estimation for distributional parameters. We can do that by way of find distribution parameters or estimated distribution. There are also goodness-of-fit tests for…
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