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Distributions

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César Souza edited this page Aug 18, 2015 · 7 revisions

Probability distributions

<< examples are available at http://www.codeproject.com/Articles/835786/Statistics-Workbench - also include link for this article here >>

Continuous Distributions

Discrete Distributions

Univariate Distributions

Multivariate Distributions

Density estimation

Property discovery

<< include example for GeneralContinuousDistribution >>

The framework can create and compute metrics of any arbitrary distribution specified only in terms of its PDF, CDF, or both. For instance, given a single PDF function, the framework can automatically determine:

  • The expected value of the distribution whose PDF function was given;
  • Its cumulative distribution function;
  • Its mode;
  • Its median;
  • Its hazard function;
  • and so on.

Download the latest version of the .NET machine learning framework or install it through NuGet.

  1. Accord.NET Framework
  2. Getting started
  3. Published books
  4. How to use
  5. Sample applications

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