在$ p $值

Laurie Davies
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引用次数: 2

摘要

模型始终被视为近似值,所有程序都与此一致。他们不认为模型是正确的。在这种情况下,$p$值是近似值的一种度量,较小的$p$值表示近似值较差。定义了近似区域,并将其与置信区域区分开来。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On $p$-values
Models are consistently treated as approximations and all procedures are consistent with this. They do not treat the model as being true. In this context $p$-values are one measure of approximation, a small $p$-value indicating a poor approximation. Approximation regions are defined and distinguished from confidence regions.
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