Σύγκριση μεθόδων

	Δοκιμή διάμεσης τιμής του Mood	Έλεγχος Kolmogorov-Smirnov δύο δειγμάτων
Πεδίο	Στατιστική	Στατιστική
Οικογένεια	Regression model	Regression model
Έτος προέλευσης	1954	1948
Δημιουργός	A. M. Mood	N. V. Smirnov
Τύπος	Nonparametric median comparison	Nonparametric two-sample distribution test
Θεμελιώδης πηγή	Mood, A. M. (1954). On the Asymptotic Efficiency of Certain Nonparametric Two-Sample Tests. Annals of Mathematical Statistics, 25(3), 514-522.	Smirnov, N. V. (1948). Table for Estimating the Goodness of Fit of Empirical Distributions. Annals of Mathematical Statistics, 19(2), 279-281.
Εναλλακτικές ονομασίες	median test, Brown-Mood median test, Mood Medyan Testi	KS two-sample test, two-sample KS test, İki Örneklem Kolmogorov-Smirnov Testi
Συναφείς	3	3
Σύνοψη	Mood'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.