Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Ранговая корреляция Кендалла Тау× | Коэффициент ранговой корреляции Спирмена× | |
|---|---|---|
| Область | Статистика | Статистика |
| Семейство | Hypothesis test | Hypothesis test |
| Год появления≠ | 1938 | 1904 |
| Автор метода≠ | Maurice G. Kendall | Charles Spearman |
| Тип≠ | Rank-based association measure | Nonparametric rank-based correlation |
| Основополагающий источник≠ | Kendall, M. G. (1938). A new measure of rank correlation. Biometrika, 30(1–2), 81–93. DOI ↗ | Spearman, C. (1904). The proof and measurement of association between two things. The American Journal of Psychology, 15, 72–101. DOI ↗ |
| Другие названия≠ | Kendall's tau, Kendall tau-b, tau correlation, Kendall Tau Korelasyonu | Spearman's rho, Spearman rank-order correlation, Spearman Sıra Korelasyonu |
| Связанные | 4 | 4 |
| Сводка≠ | Kendall Tau is a nonparametric rank correlation coefficient introduced by Maurice G. Kendall in 1938 to measure the strength and direction of a monotone association between two ordinal or continuous variables. It is particularly suited to small samples and datasets containing many tied ranks, where the Spearman coefficient can be less stable. | The Spearman rank correlation coefficient (ρ) is a nonparametric measure of the monotonic association between two variables. Introduced by Charles Spearman in 1904, it converts raw observations to ranks and measures how consistently one variable increases as the other increases, without assuming a normal distribution or a linear relationship. |
| ScholarGateНабор данных ↗ |
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