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Shapiro–Wilk test : ウィキペディア英語版
Shapiro–Wilk test
The Shapiro–Wilk test is a test of normality in frequentist statistics. It was published in 1965 by Samuel Sanford Shapiro and Martin Wilk.〔
==Theory==
The Shapiro–Wilk test utilizes the null hypothesis principle to check whether a sample ''x''1, ..., ''x''''n'' came from a normally distributed population. The test statistic is:
:W = \right)^2 \over \sum_^n (x_i-\overline)^2}
where
* x_ (with parentheses enclosing the subscript index ''i'') is the ''i''th order statistic, i.e., the ''i''th-smallest number in the sample;
* \overline = \left( x_1 + \cdots + x_n \right) / n is the sample mean;
* the constants a_i are given by〔 p. 593〕
::(a_1,\dots,a_n) = \over (m^V^m)^}
:where
::m = (m_1,\dots,m_n)^{\mathsf{T}}\,
:and m_1,\ldots,m_n are the expected values of the order statistics of independent and identically distributed random variables sampled from the standard normal distribution, and V is the covariance matrix of those order statistics.
The user may reject the null hypothesis if W is below a predetermined threshold.

抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
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