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Noncentral t-distribution
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Noncentral t-distribution : ウィキペディア英語版
Noncentral t-distribution

As with other noncentrality parameters, the noncentral ''t''-distribution generalizes a probability distributionStudent's ''t''-distribution – using a noncentrality parameter. Whereas the central distribution describes how a test statistic is distributed when the difference tested is null, the noncentral distribution also describes how t is distributed when the null is false. This leads to its use in statistics, especially calculating statistical power. The noncentral t-distribution is also known as the singly noncentral ''t''-distribution, and in addition to its primary use in statistical inference, is also used in robust modeling for data.
==Characterization==
If ''Z'' is a normally distributed random variable with unit variance and zero mean, and ''V'' is a Chi-squared distributed random variable with ν degrees of freedom that is statistically independent of ''Z'', then
:T=\frac{\sqrt{V/\nu}}
is a noncentral ''t''-distributed random variable with ν degrees of freedom and noncentrality parameter μ. Note that the noncentrality parameter may be negative.

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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