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翻訳と辞書　辞書検索 [ 開発暫定版 ] スポンサード リンク Newman–Keuls method ： ウィキペディア英語版 Newman–Keuls method The Newman–Keuls or Student–Newman–Keuls (SNK) method is a stepwise multiple comparisons procedure used to identify sample means that are significantly different from each other. It was named after Student (1927), D. Newman, and M. Keuls. This procedure is often used as a post-hoc test whenever a significant difference between three or more sample means has been revealed by an analysis of variance (ANOVA).〔 The Newman–Keuls method is similar to Tukey's range test as both procedures use Studentized range statistics. Unlike Tukey's range test, the Newman–Keuls method uses different critical values for different pairs of mean comparisons. Thus, the procedure is more likely to reveal significant differences between group means and to commit type I errors by incorrectly rejecting a null hypothesis when it is true. In other words, the Neuman-Keuls procedure is more powerful but less conservative than Tukey's range test.〔 ==History== The Newman–Keuls method was introduced by Newman in 1939 and developed further by Keuls in 1952. This before Tukey presented the concept of different types of multiple error rates (1952a, 1952b, 1953). The Newman–Keuls method was popular during 1950s and 1960s. But when the control of familywise error rate (FWER) became an accepted criterion in multiple comparison testing, the procedure became less popular as it does not control FWER (except for the special case of exactly three groups). In 1995 Benjamini and Hochberg presented a new, more liberal and more powerful criterion for those types of problems: False discovery rate (FDR) control. In 2006, Shaffer showed (by extensive simulation) that the Newman–Keuls method controls the FDR with some constrains. 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「Newman–Keuls method」の詳細全文を読む スポンサード リンク 翻訳と辞書 : 翻訳のためのインターネットリソース Copyright(C) kotoba.ne.jp 1997-2016. All Rights Reserved.