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Uji Kolmogorov-Smirnov Dua Sampel×Uji Levene dan Brown-Forsythe untuk Kesetaraan Varians×
BidangStatistikaStatistika
KeluargaRegression modelRegression model
Tahun asal19481960
PencetusN. V. SmirnovHoward Levene; Morton B. Brown and Alan B. Forsythe
TipeNonparametric two-sample distribution testHomogeneity of variance test (robust)
Sumber perintisSmirnov, N. V. (1948). Table for Estimating the Goodness of Fit of Empirical Distributions. Annals of Mathematical Statistics, 19(2), 279-281. DOI ↗Levene, H. (1960). Robust Tests for Equality of Variances. In Contributions to Probability and Statistics: Essays in Honor of Harold Hotelling. Stanford University Press. link ↗
AliasKS two-sample test, two-sample KS test, İki Örneklem Kolmogorov-Smirnov TestiLevene test, Brown-Forsythe test, homogeneity of variance test, Levene ve Brown-Forsythe Varyans Testi
Terkait35
RingkasanThe two-sample Kolmogorov-Smirnov test is a nonparametric procedure that asks whether two independent groups are drawn from the same continuous distribution. Building on Smirnov's 1948 tables, it compares the empirical cumulative distribution functions (CDFs) of the two samples and uses their maximum absolute distance as the test statistic.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.
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ScholarGateBandingkan metode: Two-Sample Kolmogorov-Smirnov Test · Levene and Brown-Forsythe Test. Diakses 2026-06-20 dari https://scholargate.app/id/compare