Comparer des méthodes

	Test de Levene et Brown-Forsythe pour l'égalité des variances	Inférence par bootstrap
Domaine	Statistique	Statistique
Famille	Regression model	Regression model
Année d'origine	1960	1979
Auteur d'origine	Howard Levene; Morton B. Brown and Alan B. Forsythe	Bradley Efron
Type	Homogeneity of variance test (robust)	Resampling-based inference
Source fondatrice	Levene, H. (1960). Robust Tests for Equality of Variances. In Contributions to Probability and Statistics: Essays in Honor of Harold Hotelling. Stanford University Press.	Efron, B. (1979). Bootstrap Methods: Another Look at the Jackknife. Annals of Statistics, 7(1), 1-26.
Alias	Levene test, Brown-Forsythe test, homogeneity of variance test, Levene ve Brown-Forsythe Varyans Testi	bootstrap, bootstrap resampling, nonparametric bootstrap, Bootstrap Çıkarımı
Apparentées	5	5
Résumé	The Levene and Brown-Forsythe test checks whether two or more groups share the same variance (homogeneity of variance). Levene (1960) built the test on absolute deviations from each group mean, and Brown and Forsythe (1974) made it robust to non-normal data by centring on the group median instead.	Bootstrap inference, introduced by Bradley Efron in 1979, estimates the sampling distribution of a statistic by repeatedly resampling the observed data with replacement. It requires no distributional assumption and produces reliable confidence intervals even in small samples.