Comparar métodos
Revisa los métodos seleccionados uno junto a otro; las filas que difieren aparecen resaltadas.
| Test de Kolmogorov-Smirnov para dos muestras× | Prueba de permutación (aleatorización)× | |
|---|---|---|
| Campo | Estadística | Estadística |
| Familia | Regression model | Regression model |
| Año de origen≠ | 1948 | 2005 |
| Autor original≠ | N. V. Smirnov | Good (2005); Edgington & Onghena (2007); resampling tradition |
| Tipo≠ | Nonparametric two-sample distribution test | Nonparametric resampling test |
| Fuente seminal≠ | Smirnov, N. V. (1948). Table for Estimating the Goodness of Fit of Empirical Distributions. Annals of Mathematical Statistics, 19(2), 279-281. DOI ↗ | Good, P. (2005). Permutation, Parametric and Bootstrap Tests of Hypotheses (3rd ed.). Springer. ISBN: 978-0387202792 |
| Alias≠ | KS two-sample test, two-sample KS test, İki Örneklem Kolmogorov-Smirnov Testi | randomization test, exact permutation test, re-randomization test, Permütasyon Testi |
| Relacionados≠ | 3 | 5 |
| Resumen≠ | 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. |
| ScholarGateConjunto de datos ↗ |
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