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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.
Statistics: efficient, general purpose statistics ------------------------------------------------- This package provides the Statistics module, a Haskell library for working with statistical data in a space- and time-efficient way. Where possible, we give citations and computational complexity estimates for the algorithms used. Performance ----------- This library has been carefully optimise more»
haskell-statistics (0.5.1.0-1) unstable; urgency=low * Initial release. (Closes: #582552) -- Marco Túlio Gontijo e Silva <email@example.com> Fri, 21 May 2010 16:09:19 -0300
Format-Specification: http://svn.debian.org/wsvn/dep/web/deps/dep5.mdwn?op=file&rev=135 Name: statistics Maintainer: Bryan O'Sullivan <firstname.lastname@example.org> Source: http://hackage.haskell.org/packages/archive/statistics/0.5.1.0/statistics-0.5.1.0.tar.gz Copyright: 2009-2010, Bryan O'Sullivan License: BSD3 Redistribution and use in source and binary forms, with or without modification, are permitt more»