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スケール差のシーゲル-デューキー検定×フランガー・キリーン分散均一性検定×
分野統計学統計学
系統Hypothesis testRegression model
提唱年19601976
提唱者Sidney Siegel & John W. TukeyMichael A. Fligner & Timothy J. Killeen
種類Nonparametric scale comparisonRank-based test for homogeneity of variances
原典Siegel, S. & Tukey, J. W. (1960). A Nonparametric Sum of Ranks Procedure for Relative Spread in Unpaired Samples. Journal of the American Statistical Association, 55(291), 429–444. DOI ↗Fligner, M. A., & Killeen, T. J. (1976). Distribution-Free Two-Sample Tests for Scale. Journal of the American Statistical Association, 71(353), 210-213. DOI ↗
別名Siegel-Tukey rank test, nonparametric scale test, Siegel-Tukey Testi — Ölçek FarklılığıFligner-Killeen test of variance homogeneity, rank-based variance homogeneity test, Fligner-Killeen Varyans Homojenliği Testi
関連25
概要The Siegel-Tukey test is a nonparametric hypothesis test that detects differences in variability (spread) between two independent groups whose central tendencies are equal or have been equalised. Introduced by Sidney Siegel and John W. Tukey in 1960, it is the nonparametric counterpart of Levene's test and requires no assumption of normality.The Fligner-Killeen test is a rank-based test that checks whether several independent groups share the same variance (scale). Introduced by Fligner and Killeen in 1976, it does not require the data to be normally distributed, making it a robust nonparametric alternative to the Levene and Bartlett tests.
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ScholarGate手法を比較: Siegel-Tukey test · Fligner-Killeen Test. 2026-06-20に以下より取得 https://scholargate.app/ja/compare