विधियों की तुलना करें
चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| सीगल-टुकी परीक्षण (Siegel-Tukey Test) स्केल अंतरों के लिए× | फ्लिग्नर-किलीन परीक्षण (Fligner-Killeen Test) विचरणों की समांगता के लिए× | |
|---|---|---|
| क्षेत्र | सांख्यिकी | सांख्यिकी |
| परिवार≠ | Hypothesis test | Regression model |
| उद्भव वर्ष≠ | 1960 | 1976 |
| प्रवर्तक≠ | Sidney Siegel & John W. Tukey | Michael A. Fligner & Timothy J. Killeen |
| प्रकार≠ | Nonparametric scale comparison | Rank-based test for homogeneity of variances |
| मौलिक स्रोत≠ | 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 ↗ |
| उपनाम | 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 |
| संबंधित≠ | 2 | 5 |
| सारांश≠ | 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. |
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