Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Тест Левене и Брауна-Форсайта на равенство дисперсий× | Тест перестановок (рандомизация)× | |
|---|---|---|
| Область | Статистика | Статистика |
| Семейство | Regression model | Regression model |
| Год появления≠ | 1960 | 2005 |
| Автор метода≠ | Howard Levene; Morton B. Brown and Alan B. Forsythe | Good (2005); Edgington & Onghena (2007); resampling tradition |
| Тип≠ | Homogeneity of variance test (robust) | Nonparametric resampling test |
| Основополагающий источник≠ | Levene, H. (1960). Robust Tests for Equality of Variances. In Contributions to Probability and Statistics: Essays in Honor of Harold Hotelling. Stanford University Press. link ↗ | Good, P. (2005). Permutation, Parametric and Bootstrap Tests of Hypotheses (3rd ed.). Springer. ISBN: 978-0387202792 |
| Другие названия | Levene test, Brown-Forsythe test, homogeneity of variance test, Levene ve Brown-Forsythe Varyans Testi | randomization test, exact permutation test, re-randomization test, Permütasyon Testi |
| Связанные | 5 | 5 |
| Сводка≠ | The Levene and Brown-Forsythe test checks whether two or more groups share the same variance (homogeneity of variance). Levene (1960) built the test on absolute deviations from each group mean, and Brown and Forsythe (1974) made it robust to non-normal data by centring on the group median instead. | 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. |
| ScholarGateНабор данных ↗ |
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