Statistics Library User's Guide
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:
Contains fundamental classes for statistical objects, such as variables, linear models, ANOVA tables, as well as commonly-used statistical data types and exceptions.
Contains classes that implement probability distributions.
Contains classes that implement multivariate statistical analysis methods, including cluster analysis and principal component analysis.
Contains classes for working with random numbers quasi-random sequences.
Contains classes that implement statistical hypothesis tests.
Contains classes for working with time series.