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Test de Fligner-Killeen pour l'homogénéité des variances×Test de Bartlett pour l'homogénéité des variances×
DomaineStatistiqueStatistique
FamilleRegression modelHypothesis test
Année d'origine19761937
Auteur d'origineMichael A. Fligner & Timothy J. KilleenMaurice Stevenson Bartlett
TypeRank-based test for homogeneity of variancesParametric variance homogeneity test
Source fondatriceFligner, M. A., & Killeen, T. J. (1976). Distribution-Free Two-Sample Tests for Scale. Journal of the American Statistical Association, 71(353), 210-213. DOI ↗Bartlett, M. S. (1937). Properties of sufficiency and statistical tests. Proceedings of the Royal Society of London. Series A, 160(901), 268–282. DOI ↗
AliasFligner-Killeen test of variance homogeneity, rank-based variance homogeneity test, Fligner-Killeen Varyans Homojenliği TestiBartlett's Chi-Square Test, Test for Equality of Variances, Bartlett's Homogeneity Test, Varyans Homojenliği Testi
Apparentées52
RésuméThe 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.Bartlett's Test is a classical parametric procedure for testing whether two or more independent groups share a common population variance. Introduced by Maurice Stevenson Bartlett in 1937, it formalises the null hypothesis that all group variances are equal by constructing a chi-square statistic from the ratio of pooled to individual group variances. It is a standard pre-analysis step before applying ANOVA or other procedures whose validity depends on the homoscedasticity assumption.
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ScholarGateComparer des méthodes: Fligner-Killeen Test · Bartlett's Test. Consulté le 2026-06-18 sur https://scholargate.app/fr/compare