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P-rep : ウィキペディア英語版
P-rep

In statistical hypothesis testing, p-rep or ''p''rep has been proposed as a statistical (alternative ) to the classic p-value. Whereas a p-value is the probability of obtaining a result under the null hypothesis, p-rep computes the probability of replicating an effect. Whether it does so is heavily disputed – some have argued that the concept rests on a mathematical falsehood.
For a while, the Association for Psychological Science recommended that articles submitted to Psychological Science and their other journals report p-rep rather than the classic p-value,〔(archived version of "Psychological Science Journal, Author Guidelines" )〕 but this is no longer the case.〔(Psychological Science Journal, Author Guidelines. )〕
== Calculation ==

The value of the p-rep (''p''rep) can be approximated based on the p-value (''p'') as follows:
: p_\text = \left(1 + \left( \frac \right)^} \right )^.

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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