Statistics Library User's Guide - Documentation - .NET, C# (CSharp), VB.NET, F# Math, Statistics and Matrix Libraries

Introduction

Deployment Guide

Using Parallelism

Mathematics Library User's Guide

Vector and Matrix Library User's Guide

Statistics Library User's Guide

Reference

The Extreme Optimization Numerical Libraries for .NET makes a wide range of statistical techniques available on the .NET platform. Building on the Mathematics Library, it provides robust and reliable tools for data analysis, simulation and modelling.

The Statistics Library of the Extreme Optimization Numerical Libraries for .NET contains classes for a wide range of statistical techniques. The classes are organized in a consistent namespace hierarchy as follows:

Namespace	Description
Extreme.Statistics	Contains fundamental classes for statistical objects, such as variables, linear models, ANOVA tables, as well as commonly-used statistical data types and exceptions.
Extreme.Statistics.Distributions	Contains classes that implement probability distributions.
Extreme.Statistics.Multivariate	Contains classes that implement multivariate statistical analysis methods, including cluster analysis and principal component analysis.
Extreme.Statistics.Random	Contains classes for working with random numbers quasi-random sequences.
Extreme.Statistics.Tests	Contains classes that implement statistical hypothesis tests.
Extreme.Statistics.TimeSeriesAnalysis	Contains classes for working with time series.

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