Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Коэффициент ранговой корреляции Кендалла× | Коэффициент ранговой корреляции Спирмена× | |
|---|---|---|
| Область | Статистика | Статистика |
| Семейство | Hypothesis test | Hypothesis test |
| Год появления≠ | 1938 | 1904 |
| Автор метода≠ | Maurice G. Kendall | Charles Spearman |
| Тип≠ | Nonparametric rank correlation | 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 tau, Kendall rank correlation, tau-b, tau-c | Spearman's rho, Spearman rank-order correlation, Spearman Sıra Korelasyonu |
| Связанные | 4 | 4 |
| Сводка≠ | Kendall's tau is a nonparametric measure of the ordinal association between two variables. It quantifies how consistently the relative ordering of one variable matches the ordering of another across all observation pairs, making it robust to outliers and suitable for ordinal or non-normally distributed data. | 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 ↗ |
|
|