Порівняння методів
Переглядайте обрані методи поруч; рядки з відмінностями підсвічено.
| Двовибірковий тест Колмогорова-Смірнова× | Тест з перестановки (рандомізації)× | |
|---|---|---|
| Галузь | Статистика | Статистика |
| Родина | Regression model | Regression model |
| Рік появи≠ | 1948 | 2005 |
| Автор методу≠ | N. V. Smirnov | Good (2005); Edgington & Onghena (2007); resampling tradition |
| Тип≠ | Nonparametric two-sample distribution test | Nonparametric resampling test |
| Основоположне джерело≠ | 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 |
| Інші назви≠ | KS two-sample test, two-sample KS test, İki Örneklem Kolmogorov-Smirnov Testi | randomization test, exact permutation test, re-randomization test, Permütasyon Testi |
| Пов'язані≠ | 3 | 5 |
| Підсумок≠ | 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. |
| ScholarGateНабір даних ↗ |
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