软件包：libstatistics-normality-perl（0.01-1）
libstatistics-normality-perl 的相关链接
Debian 的资源：
下载源码包 libstatistics-normality-perl：
- [libstatistics-normality-perl_0.01-1.dsc]
- [libstatistics-normality-perl_0.01.orig.tar.gz]
- [libstatistics-normality-perl_0.01-1.debian.tar.xz]
维护小组：
外部的资源：
- 主页 [metacpan.org]
相似软件包：
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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