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| 강건 피어슨 상관계수× | Kendall Tau 순위 상관 계수× | |
|---|---|---|
| 분야 | 통계학 | 통계학 |
| 계열 | Hypothesis test | Hypothesis test |
| 기원 연도≠ | 1970s–1990s | 1938 |
| 창시자≠ | Rand R. Wilcox and predecessors in robust statistics | Maurice G. Kendall |
| 유형≠ | Robust bivariate association measure | Rank-based association measure |
| 원전≠ | 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 ↗ |
| 별칭 | winsorized correlation, percentage bend correlation, robust r, outlier-resistant correlation | Kendall's tau, Kendall tau-b, tau correlation, Kendall Tau Korelasyonu |
| 관련≠ | 3 | 4 |
| 요약≠ | 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. |
| ScholarGate데이터셋 ↗ |
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