Statistics-KernelEstimation version 0.01 ======================================== This modules calculates Kernel Density Estimates and related quantities for a collection of random points. A Kernel Density Estimate (KDE) is similar to a histogram, but improves on two known problems of histograms: it is smooth (whereas a histogram is ragged) and does not suffer from ambiguity in regards to the placement of bins. In a KDE, a smooth, strongly peaked function is placed at the location of each point in the collection, and the contributions from all points is summed. The resulting function is a smooth approximation to the probability density from which the set of points was drawn. The smoothness of the resulting curve can be controlled through a bandwidth parameter. This module calculates KDEs as well as Cumulative Density Functions (CDF). Three different kernels are available (Gaussian, Box, Epanechnikov). The module also offers limited support for bandwidth optimization. Finally, the module can generate "classical" histograms and distribution functions. INSTALLATION To install this module type the following: perl Makefile.PL make make test make install DEPENDENCIES No dependencies on external modules. COPYRIGHT AND LICENCE Copyright (C) 2008 by Philipp K. Janert This library is free software; you can redistribute it and/or modify it under the same terms as Perl itself, either Perl version 5.8.8 or, at your option, any later version of Perl 5 you may have available.