Extreme Optimization™: Complexity made simple.

Numerical Components
for .NET

  • Home
  • Features
    • Math Library
    • Vector and Matrix Library
    • Statistics Library
    • Performance
    • Usability
  • Documentation
    • Introduction
    • Math Library User's Guide
    • Vector and Matrix Library User's Guide
    • Statistics Library User's Guide
    • Reference
  • Resources
    • Downloads
    • QuickStart Samples
    • Sample Applications
    • Frequently Asked Questions
    • Technical Support
  • Blog
  • Order
  • Company
    • About us
    • Testimonials
    • Customers
    • Press Releases
    • Careers
    • Contact us
Introduction
Deployment Guide
Using Parallelism
Expand Mathematics Library User's GuideMathematics Library User's Guide
Expand Vector and Matrix Library User's GuideVector and Matrix Library User's Guide
Expand Statistics Library User's GuideStatistics Library User's Guide
Expand ReferenceReference
  • Home
    • Features
    • Solutions
    • Documentation
    • QuickStart Samples
    • Sample Applications
    • Downloads
    • Technical Support
    • Download trial
    • How to buy
    • Blog
    • Company
    • Resources
  • Documentation
    • Introduction
    • Deployment Guide
    • Using Parallelism
    • Mathematics Library User's Guide
    • Vector and Matrix Library User's Guide
    • Statistics Library User's Guide
    • Reference
  • Statistics Library User's Guide
    • Statistical Variables
    • Continuous Variables
    • Categorical Variables
    • Variable Collections
    • General Linear Models
    • Regression Analysis
    • Analysis of Variance
    • Time Series Analysis
    • Multivariate Analysis
    • Continuous Distributions
    • Discrete Distributions
    • Multivariate Distributions
    • Hypothesis Tests
    • Histograms
    • Random Numbers
    • Appendices
  • Multivariate Distributions
    • The Dirichlet Distribution
    • The Multivariate Normal Distribution
Collapse image Expand Image Copy image CopyHover image
         




Multivariate Probability Distributions

In addition to continuous and discrete univariate distributions, the Extreme Optimization Numerical Libraries for .NET provide classes that implement the most common multivariate probability distributions. The classes that implement multivariate probability distributions also reside in the Extreme.Statistics.Distributions namespace.

Multivariate distribution classes provide three major features: access to the moments (mean, etc.), access to the various distribution functions (PDF), and the ability to generate random variates from the distribution.

  • The Dirichlet Distribution
  • The Multivariate Normal Distribution

Send comments on this topic to support@extremeoptimization.com

Copyright (c) 2004-2011 ExoAnalytics Inc.

Copyright © 2003-2013, Extreme Optimization. All rights reserved.
Extreme Optimization, Complexity made simple, M#, and M Sharp are trademarks of ExoAnalytics Inc.
Microsoft, Visual C#, Visual Basic, Visual Studio, Visual Studio.NET, and the Optimized for Visual Studio logo
are registered trademarks of Microsoft Corporation.