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| Mocna korelacja Pearsona× | Tau Kendalla× | |
|---|---|---|
| Dziedzina | Statystyka | Statystyka |
| Rodzina | Hypothesis test | Hypothesis test |
| Rok powstania≠ | 1970s–1990s | 1938 |
| Twórca≠ | Rand R. Wilcox and predecessors in robust statistics | Maurice G. Kendall |
| Typ≠ | Robust bivariate association measure | Rank-based association measure |
| Źródło pierwotne≠ | Wilcox, R. R. (2012). Introduction to Robust Estimation and Hypothesis Testing (3rd ed.). Academic Press. ISBN: 978-0123869838 | Kendall, M. G. (1938). A new measure of rank correlation. Biometrika, 30(1–2), 81–93. DOI ↗ |
| Inne nazwy | winsorized correlation, percentage bend correlation, robust r, outlier-resistant correlation | Kendall's tau, Kendall tau-b, tau correlation, Kendall Tau Korelasyonu |
| Pokrewne≠ | 3 | 4 |
| Podsumowanie≠ | The robust Pearson correlation is an outlier-resistant measure of linear association between two continuous variables. By applying Winsorizing, trimming, or percentage-bend transformations before computing the classic Pearson r, it retains the interpretability of a correlation coefficient while dramatically reducing the distortion caused by extreme values. | 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. |
| ScholarGateZbiór danych ↗ |
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