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Source: libstatistics-normality-perl
Section: perl
Priority: optional
Maintainer: Debian Perl Group <pkg-perl-maintainers@lists.alioth.debian.org>
Uploaders: gregor herrmann <gregoa@debian.org>
Build-Depends: debhelper-compat (= 13)
Build-Depends-Indep: perl,
libstatistics-distributions-perl
Standards-Version: 3.9.8
Vcs-Browser: https://salsa.debian.org/perl-team/modules/packages/libstatistics-normality-perl
Vcs-Git: https://salsa.debian.org/perl-team/modules/packages/libstatistics-normality-perl.git
Homepage: https://metacpan.org/release/Statistics-Normality
Testsuite: autopkgtest-pkg-perl
Package: libstatistics-normality-perl
Architecture: all
Depends: ${misc:Depends},
${perl:Depends},
libstatistics-distributions-perl
Description: module for testing normal distribution of data
Various situations call for testing whether an empirical sample can be
presumed to have been drawn from a normally (Gaussian) distributed
population, especially because many downstream significance tests depend upon
the assumption of normality. Statistics::Normality implements some of the
more well-known normality tests 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.
.
Note that, although the Kolmogorov-Smirnov test can also be used in this
capacity, it is a distance test and therefore not advisable. This, and other
distance tests (e.g. Chi-square) are not implemented here.
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