Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Flignera-Kīlīna tests varianču homogenitātei× | Vienvirziena dispersijas analīze× | |
|---|---|---|
| Nozare | Statistika | Statistika |
| Saime≠ | Regression model | Hypothesis test |
| Izcelsmes gads≠ | 1976 | 1925 |
| Autors≠ | Michael A. Fligner & Timothy J. Killeen | Ronald A. Fisher |
| Tips≠ | Rank-based test for homogeneity of variances | Parametric mean 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 ↗ | Fisher, R. A. (1925). Statistical Methods for Research Workers. Edinburgh: Oliver and Boyd. link ↗ |
| Citi nosaukumi≠ | 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 |
| 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. | 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. |
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