Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Flignera-Kīlīna tests varianču homogenitātei× | Mann-Whitney U tests× | |
|---|---|---|
| Nozare | Statistika | Statistika |
| Saime≠ | Regression model | Hypothesis test |
| Izcelsmes gads≠ | 1976 | 1947 |
| Autors≠ | Michael A. Fligner & Timothy J. Killeen | H. B. Mann & D. R. Whitney |
| Tips≠ | Rank-based test for homogeneity of variances | Nonparametric two-group comparison |
| Pirmavots≠ | 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 ↗ | Mann, H. B. & Whitney, D. R. (1947). On a test of whether one of two random variables is stochastically larger than the other. Annals of Mathematical Statistics, 18(1), 50–60. DOI ↗ |
| Citi nosaukumi | Fligner-Killeen test of variance homogeneity, rank-based variance homogeneity test, Fligner-Killeen Varyans Homojenliği Testi | Mann-Whitney-Wilcoxon test, Wilcoxon rank-sum test, Mann-Whitney U Testi |
| Saistītās≠ | 5 | 4 |
| Kopsavilkums≠ | 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. | The Mann-Whitney U test is the nonparametric alternative to the independent samples t-test, comparing two independent groups by ranking all observations together rather than relying on their means. It was introduced by H. B. Mann and D. R. Whitney in 1947 and does not require the data to be normally distributed. |
| ScholarGateDatu kopa ↗ |
|
|