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Mood's mediaan test×Tweezijdige Kolmogorov-Smirnov-test×
VakgebiedStatistiekStatistiek
FamilieRegression modelRegression model
Jaar van ontstaan19541948
GrondleggerA. M. MoodN. V. Smirnov
TypeNonparametric median comparisonNonparametric two-sample distribution test
Oorspronkelijke bronMood, 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 ↗
Aliassenmedian test, Brown-Mood median test, Mood Medyan TestiKS two-sample test, two-sample KS test, İki Örneklem Kolmogorov-Smirnov Testi
Verwant33
SamenvattingMood'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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ScholarGateMethoden vergelijken: Mood's Median Test · Two-Sample Kolmogorov-Smirnov Test. Geraadpleegd op 2026-06-20 via https://scholargate.app/nl/compare