模拟中的零假设显著性检验

Marko A. Hofmann
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引用次数: 4

摘要

最近有几篇论文批评了在随机计算机模拟的科学应用中使用零假设显著性检验(NHST)。他们的批评可以从统计方法学家的大量文章中得到支持。他们认为关注p值不利于科学,而且NHST经常被危险地误解。然而,对反对NHST的论点的批判性反思表明,尽管NHST确实不适合许多模拟应用和目标,但它绝不是多余的,无论是一般的,还是特别的模拟。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Null hypothesis significance testing in simulation
Several papers have recently criticized the use of null hypothesis significance testing (NHST) in scientific applications of stochastic computer simulation. Their criticism can be underpinned by numerous articles from statistical methodologists. They have argued that focusing on p-values is not conducive to science, and that NHST is often dangerously misunderstood. A critical reflection of the arguments contra NHST shows, however, that although NHST is indeed ill-suited for many simulation applications and objectives it is by no means superfluous, neither in general, nor in particular for simulation.
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