Newman–Keuls Test and Tukey Test
Newman–Keuls Test and Tukey Test
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纽曼-科伊尔斯检验和图基检验
DOI：
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发表时间：
2022
期刊：
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通讯作者：
L. Williams
中科院分区：
文献类型：
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作者：
H. Abdi;L. Williams
方差分析(ANOVA)表明是否有几个均值来自同一总体。这样的程序被称为综合检验，因为它一次测试所有的均值(综合检验在拉丁语中的意思是“为所有人”)。在方差综合检验中，一个显著的结果表明，至少有两个组彼此不同，但它没有识别出不同的组。因此，在进行方差分析之后，通常会进行分析，其目标是确定结果中的差异模式。这种分析通常是通过评估所有的均值对来进行的，以确定哪些均值显示出显著差异。在一般框架中，这种方法被称为配对比较，是“后验对比分析”的一个具体案例(见对比条目)，但它本身足够具体，可以进行研究。两种最常见的配对比较方法是Tukey检验和Newman-Keuls检验。这两项测试都是基于
An analysis of variance (anova) indicates if several means come from the same population. Such a procedure is called an omnibus test, because it tests the whole set of means at once (omnibus means “for all” in latin). In an anova omnibus test, a significant result indicates that at least two groups differ from each other but it does not identify the groups that differ. So an anova is generally followed by an analysis whose goal is to identify the pattern of differences in the results. This analysis is often performed by evaluating all the pairs of means in order to decide which ones show a significant difference. In a general framework, this approach, called pairwise comparisons, is a specific case of “a posteriori contrast analysis” (see entry on contrast), but it is specific enough to be studied in itself. Two of the most common methods of pairwise comparisons are the Tukey test and the Newman-Keuls test. Both tests are based