Сравнение на методи
Прегледайте избраните методи един до друг; редовете с разлики са откроени.
| Тест на Siegel-Tukey за разлики в мащаба× | Тест на Флигнер-Килин за хомогенност на дисперсиите× | |
|---|---|---|
| Област | Статистика | Статистика |
| Семейство≠ | Hypothesis test | Regression model |
| Година на възникване≠ | 1960 | 1976 |
| Създател≠ | Sidney Siegel & John W. Tukey | Michael A. Fligner & Timothy J. Killeen |
| Тип≠ | Nonparametric scale comparison | Rank-based test for homogeneity of variances |
| Основополагащ източник≠ | Siegel, S. & Tukey, J. W. (1960). A Nonparametric Sum of Ranks Procedure for Relative Spread in Unpaired Samples. Journal of the American Statistical Association, 55(291), 429–444. DOI ↗ | 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 ↗ |
| Други названия | Siegel-Tukey rank test, nonparametric scale test, Siegel-Tukey Testi — Ölçek Farklılığı | Fligner-Killeen test of variance homogeneity, rank-based variance homogeneity test, Fligner-Killeen Varyans Homojenliği Testi |
| Свързани≠ | 2 | 5 |
| Резюме≠ | The Siegel-Tukey test is a nonparametric hypothesis test that detects differences in variability (spread) between two independent groups whose central tendencies are equal or have been equalised. Introduced by Sidney Siegel and John W. Tukey in 1960, it is the nonparametric counterpart of Levene's test and requires no assumption of normality. | 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. |
| ScholarGateНабор от данни ↗ |
|
|