विधियों की तुलना करें

	दो-नमूना कोल्मोगोरोव-स्मिरनोव परीक्षण	क्रमचय (यादृच्छिकीकरण) परीक्षण
क्षेत्र	सांख्यिकी	सांख्यिकी
परिवार	Regression model	Regression model
उद्भव वर्ष	1948	2005
प्रवर्तक	N. V. Smirnov	Good (2005); Edgington & Onghena (2007); resampling tradition
प्रकार	Nonparametric two-sample distribution test	Nonparametric resampling test
मौलिक स्रोत	Smirnov, N. V. (1948). Table for Estimating the Goodness of Fit of Empirical Distributions. Annals of Mathematical Statistics, 19(2), 279-281.	Good, P. (2005). Permutation, Parametric and Bootstrap Tests of Hypotheses (3rd ed.). Springer. ISBN: 978-0387202792
उपनाम	KS two-sample test, two-sample KS test, İki Örneklem Kolmogorov-Smirnov Testi	randomization test, exact permutation test, re-randomization test, Permütasyon Testi
संबंधित	3	5
सारांश	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.	The permutation test is a nonparametric resampling procedure that builds the sampling distribution of a test statistic directly from the data by repeatedly shuffling the group labels. Developed in the resampling tradition and treated systematically by Good (2005) and Edgington & Onghena (2007), it requires no parametric distributional assumption and yields an exact p-value.