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Levenov a Brownov-Forsythov test rovnosti rozptylov×Analýza rozptylu podľa Welcha×
OdborŠtatistikaŠtatistika
RodinaRegression modelHypothesis test
Rok vzniku19601951
TvorcaHoward Levene; Morton B. Brown and Alan B. ForsytheB. L. Welch
TypHomogeneity of variance test (robust)Parametric mean comparison (heteroscedastic)
Pôvodný zdrojLevene, H. (1960). Robust Tests for Equality of Variances. In Contributions to Probability and Statistics: Essays in Honor of Harold Hotelling. Stanford University Press. link ↗Welch, B.L. (1951). On the Comparison of Several Mean Values. Biometrika, 38(3/4), 330–336. link ↗
Ďalšie názvyLevene test, Brown-Forsythe test, homogeneity of variance test, Levene ve Brown-Forsythe Varyans TestiWelch's F-test, heteroscedastic one-way ANOVA, Welch ANOVA — Heterojen Varyans ANOVA
Príbuzné53
ZhrnutieThe 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.Welch ANOVA is a parametric hypothesis test that compares the means of three or more independent groups when their variances are not equal. Introduced by B. L. Welch in 1951, it replaces classic one-way ANOVA whenever the homogeneity-of-variance assumption fails, while still requiring approximately normal data.
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ScholarGatePorovnať metódy: Levene and Brown-Forsythe Test · Welch ANOVA. Získané 2026-06-20 z https://scholargate.app/sk/compare