Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Тест Флигнера-Киллена на однородность дисперсий× | Однофакторный дисперсионный анализ× | |
|---|---|---|
| Область | Статистика | Статистика |
| Семейство≠ | Regression model | Hypothesis test |
| Год появления≠ | 1976 | 1925 |
| Автор метода≠ | Michael A. Fligner & Timothy J. Killeen | Ronald A. Fisher |
| Тип≠ | Rank-based test for homogeneity of variances | Parametric mean comparison |
| Основополагающий источник≠ | Fligner, M. A., & Killeen, T. J. (1976). Distribution-Free Two-Sample Tests for Scale. Journal of the American Statistical Association, 71(353), 210-213. DOI ↗ | Fisher, R. A. (1925). Statistical Methods for Research Workers. Edinburgh: Oliver and Boyd. link ↗ |
| Другие названия≠ | Fligner-Killeen test of variance homogeneity, rank-based variance homogeneity test, Fligner-Killeen Varyans Homojenliği Testi | one-factor ANOVA, single-factor ANOVA, analysis of variance, tek yönlü ANOVA |
| Связанные≠ | 5 | 4 |
| Сводка≠ | The Fligner-Killeen test is a rank-based test that checks whether several independent groups share the same variance (scale). Introduced by Fligner and Killeen in 1976, it does not require the data to be normally distributed, making it a robust nonparametric alternative to the Levene and Bartlett tests. | One-way ANOVA is a parametric hypothesis test that compares the means of three or more independent groups on a single continuous outcome to decide whether at least one group mean differs. It rests on the variance-partitioning framework introduced by Ronald A. Fisher in 1925. |
| ScholarGateНабор данных ↗ |
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