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完全に無作為化デザイン(CRD)×クラスカル・ウォリス H検定×
分野実験計画法統計学
系統Hypothesis testHypothesis test
提唱年19351952
提唱者R. A. FisherWilliam Kruskal & W. Allen Wallis
種類Parametric group comparison via one-way ANOVANonparametric group comparison
原典Montgomery, D.C. (2017). Design and Analysis of Experiments. Wiley. ISBN: 978-1119320937Kruskal, W. H. & Wallis, W. A. (1952). Use of ranks in one-criterion variance analysis. Journal of the American Statistical Association, 47(260), 583–621. DOI ↗
別名CRD, completely randomised design, one-way experimental design, Tam Tesadüf Deneme Deseni (CRD)Kruskal-Wallis H test, one-way ANOVA on ranks, Kruskal-Wallis one-way analysis of variance, Kruskal-Wallis Testi
関連35
概要The completely randomized design is the most fundamental experimental design, in which experimental units are assigned to treatments entirely at random with no restrictions. Analysed by one-way ANOVA, it was formalised by R. A. Fisher in the 1930s and remains the reference starting point for experimental research whenever the experimental material is homogeneous and nuisance variation is absent or negligible.The Kruskal-Wallis H test is a nonparametric hypothesis test that compares three or more independent groups to decide whether their distributions (typically their medians) differ. Introduced by William Kruskal and W. Allen Wallis in 1952, it works on ranks rather than raw values and is the distribution-free counterpart to one-way ANOVA.
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ScholarGate手法を比較: Completely Randomized Design · Kruskal-Wallis test. 2026-06-18に以下より取得 https://scholargate.app/ja/compare