Compară metode
Examinează metodele selectate una lângă alta; rândurile care diferă sunt evidențiate.
| Testul Fligner-Killeen pentru Omogenitatea Variențelor× | Analiza Varianței Unidirecțională× | |
|---|---|---|
| Domeniu | Statistică | Statistică |
| Familie≠ | Regression model | Hypothesis test |
| Anul apariției≠ | 1976 | 1925 |
| Autorul original≠ | Michael A. Fligner & Timothy J. Killeen | Ronald A. Fisher |
| Tip≠ | Rank-based test for homogeneity of variances | Parametric mean comparison |
| Sursa seminală≠ | 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 ↗ |
| Denumiri alternative≠ | 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 |
| Înrudite≠ | 5 | 4 |
| Rezumat≠ | 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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