Bug#837763: RFP: libstatistics-normality-perl -- test whether an empirical distribution can be taken as being drawn from a normally-distributed population

[Jonathan Wiltshire]

Package: wnpp
Severity: wishlist

* Package name    : libstatistics-normality-perl
  Version         : 0.01
  Upstream Author : Mike Wendl
* URL             : http://search.cpan.org/~mwendl/Statistics-Normality-0.01/lib/Statistics/Normality.pm
* License         : GPL2+
  Programming Lang: Perl
  Description     : test whether an empirical distribution can be taken as being drawn from a normally-distributed population

 Complements other libstatics-*-perl modules. Upstream description:

 Various situations call for testing whether an empirical sample can be
 presumed to have been drawn from a normally
 (Gaussian|http://en.wikipedia.org/wiki/Normal_distribution) distributed
 population, especially because many downstream significance tests depend upon
 the assumption of normality. This package implements some of the more
 well-known tests|http://en.wikipedia.org/wiki/Normality_test from the
 mathematical statistics literature, though there are also others that are not
 included. The tests here are all so-called omnibus tests that find departures
 from normality on the basis of skewness and/or kurtosis [Dagostino71]. Note
 that, although the Kolmogorov-Smirnov
 test|http://en.wikipedia.org/wiki/Kolmogorov%E2%80%93Smirnov_test can also be
 used in this capacity, it is a distance test and therefore not advisable
 [Dagostino71]. This, and other distance tests (e.g. Chi-square) are not
 implemented here.