套件：libstatistics-normality-perl（0.01-1）
libstatistics-normality-perl 的相關連結
Debian 的資源：
下載原始碼套件 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]
維護小組：
外部的資源：
- 主頁 [metacpan.org]
相似套件：
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.
其他與 libstatistics-normality-perl 有關的套件
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- dep: libstatistics-distributions-perl
- module for calculating some values of common statistical distributions
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- dep: perl
- Larry Wall's Practical Extraction and Report Language