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Welchのt検定(等分散を仮定しない)×一元配置分散分析×
分野統計学統計学
系統Hypothesis testHypothesis test
提唱年19471925
提唱者B. L. WelchRonald A. Fisher
種類Parametric mean comparison (unequal variances)Parametric mean comparison
原典Welch, B. L. (1947). The generalization of Student's problem when several different population variances are involved. Biometrika, 34(1/2), 28–35. DOI ↗Fisher, R. A. (1925). Statistical Methods for Research Workers. Edinburgh: Oliver and Boyd. link ↗
別名unequal variances t-test, Welch-Satterthwaite t-test, Welch t-Testi (Eşit Olmayan Varyans)one-factor ANOVA, single-factor ANOVA, analysis of variance, tek yönlü ANOVA
関連44
概要Welch's t-test is a parametric hypothesis test that compares the means of two independent groups without assuming their variances are equal. It was introduced by B. L. Welch in 1947 as a more robust generalization of Student's two-sample test for situations where the two groups have different spread.One-way ANOVA is a parametric hypothesis test that compares the means of three or more independent groups on a single continuous outcome to decide whether at least one group mean differs. It rests on the variance-partitioning framework introduced by Ronald A. Fisher in 1925.
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ScholarGate手法を比較: Welch t-test · One-way ANOVA. 2026-06-19に以下より取得 https://scholargate.app/ja/compare