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Moods median-test×Two-sample Kolmogorov-Smirnov test×
FagområdeStatistikStatistik
FamilieRegression modelRegression model
Oprindelsesår19541948
OphavspersonA. M. MoodN. V. Smirnov
TypeNonparametric median comparisonNonparametric two-sample distribution test
Oprindelig kildeMood, A. M. (1954). On the Asymptotic Efficiency of Certain Nonparametric Two-Sample Tests. Annals of Mathematical Statistics, 25(3), 514-522. DOI ↗Smirnov, N. V. (1948). Table for Estimating the Goodness of Fit of Empirical Distributions. Annals of Mathematical Statistics, 19(2), 279-281. DOI ↗
Aliassermedian test, Brown-Mood median test, Mood Medyan TestiKS two-sample test, two-sample KS test, İki Örneklem Kolmogorov-Smirnov Testi
Relaterede33
ResuméMood's median test is a nonparametric procedure that compares the medians of k independent groups by counting how many observations in each group fall above and below the pooled (grand) median, then applying a chi-square test to the resulting 2×k contingency table. It traces to A. M. Mood's 1954 work on nonparametric two-sample tests.The 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.
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ScholarGateSammenlign metoder: Mood's Median Test · Two-Sample Kolmogorov-Smirnov Test. Hentet 2026-06-20 fra https://scholargate.app/da/compare