对Griffiths和Hill(2022)的《关于线性模型中假设的f检验的力量》的评论的回驳(2022)

W. Griffiths, R. Carter Hill
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引用次数: 0

摘要

作者要感谢克里斯滕森教授和哈维尔教授的评论。这两位作者采用不同的方法来推广和改进Griffiths和Hill(2022)的定理证明。Christensen教授的几何方法,以及Harville教授细致的矩阵代数方法,适用于各个领域统计学家的线性模型研究生课程。我们认为,在讨论非接触中心性参数和F检验中的分子自由度之间的权衡,以及这如何影响F检验的能力,具有教学价值。然而,需要澄清的是,我们并不提倡将真实假设作为一种策略。克里斯滕森教授的第一句话可能会被一些人理解为暗示。我们文章中的主要观点也很容易通过模拟演示,如补充材料中所示,使本科生能够理解这些思想。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Rejoinder to Harville (2022) and Christensen (2022) Comments on “On the Power of the F-test for Hypotheses in a Linear Model,” by Griffiths and Hill (2022)
The authors would like to thank Professors Christensen and Harville for their comments. These two authors take differ-ent approaches to generalizing and improving the proof of the theorem in Griffiths and Hill (2022). Professor Christensen’s geometric approach, and Professor Harville’s meticulous matrix algebra approach, are suitable for graduate courses in linear models for statisticians in various fields. We believe that there is pedagogic value in discussing the tradeoff between the non-CONTACT centrality parameter and the numerator degrees of freedom in the F -test, and how this affects the power of the F -test. However, just to be clear, we are not advocating adding true hypotheses as a strategy. Professor Christensen’s first sentence may be taken by some to imply that. The main points in our article are also easily demonstrated via simulation, as shown in the supplemen-tary materials, making the ideas accessible to undergraduate students.
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