This is an automated email from the git hooks/post-receive script. gregoa pushed a commit to branch master in repository libstatistics-normality-perl.
commit 231d95d467e6ed7082f0f7a58de2953e138af518 Author: gregor herrmann <gre...@debian.org> Date: Wed Sep 14 18:47:04 2016 +0200 control --- debian/control | 26 +++++++++++--------------- 1 file changed, 11 insertions(+), 15 deletions(-) diff --git a/debian/control b/debian/control index da370be..a72513e 100644 --- a/debian/control +++ b/debian/control @@ -14,20 +14,16 @@ Testsuite: autopkgtest-pkg-perl Package: libstatistics-normality-perl Architecture: all Depends: ${misc:Depends}, ${perl:Depends} -Description: test whether an empirical distribution can be taken as being drawn from a normally-distributed population +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|http://en.wikipedia.org/wiki/Normal_distribution) distributed + presumed to have been drawn from a normally (Gaussian) 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. - . - This description was automagically extracted from the module by dh-make-perl. + 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. -- Alioth's /usr/local/bin/git-commit-notice on /srv/git.debian.org/git/pkg-perl/packages/libstatistics-normality-perl.git _______________________________________________ Pkg-perl-cvs-commits mailing list Pkg-perl-cvs-commits@lists.alioth.debian.org http://lists.alioth.debian.org/cgi-bin/mailman/listinfo/pkg-perl-cvs-commits