statistics-0.6.0.2: A library of statistical types, data, and functionsContentsIndex
statistics-0.6.0.2: A library of statistical types, data, and functions

This library provides a number of common functions and types useful in statistics. Our focus is on high performance, numerical robustness, and use of good algorithms. Where possible, we provide references to the statistical literature.

The library's facilities can be divided into three broad categories:

Working with widely used discrete and continuous probability distributions. (There are dozens of exotic distributions in use; we focus on the most common.)

Computing with sample data: quantile estimation, kernel density estimation, bootstrap methods, and autocorrelation analysis.

Random variate generation under several different distributions.

Modules
show/hideStatistics
Statistics.Autocorrelation
Statistics.Constants
show/hideStatistics.Distribution
Statistics.Distribution.Binomial
Statistics.Distribution.Exponential
Statistics.Distribution.Gamma
Statistics.Distribution.Geometric
Statistics.Distribution.Hypergeometric
Statistics.Distribution.Normal
Statistics.Distribution.Poisson
Statistics.Function
Statistics.KernelDensity
Statistics.Math
Statistics.Quantile
show/hideStatistics.Resampling
Statistics.Resampling.Bootstrap
show/hideStatistics.Sample
Statistics.Sample.Powers
Statistics.Types
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