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| 강건 Kendall's Tau 순위 상관관계× | 강건 스피어만 상관계수× | |
|---|---|---|
| 분야 | 통계학 | 통계학 |
| 계열 | Hypothesis test | Hypothesis test |
| 기원 연도 | 1990s–2000s | 1990s–2000s |
| 창시자≠ | Rand Wilcox; Croux & Dehon (robust extensions) | Rand R. Wilcox (robust extensions); Charles Spearman (base method, 1904) |
| 유형≠ | Robust rank correlation | Robust nonparametric correlation |
| 원전 | Wilcox, R. R. (2012). Introduction to Robust Estimation and Hypothesis Testing (3rd ed.). Academic Press. ISBN: 978-0123869838 | Wilcox, R. R. (2012). Introduction to Robust Estimation and Hypothesis Testing (3rd ed.). Academic Press. ISBN: 978-0123869838 |
| 별칭 | robust tau, skipped Kendall's tau, Winsorized Kendall's tau, outlier-resistant rank correlation | Winsorized Spearman correlation, robust rank correlation, trimmed Spearman correlation, outlier-resistant Spearman |
| 관련 | 5 | 5 |
| 요약≠ | Robust Kendall's tau estimates the monotone association between two variables using rank-based concordance counts, but augments the standard procedure with outlier detection or Winsorization so that a small number of extreme observations cannot distort the result. It is appropriate when data are ordinal or continuous and bivariate outliers are plausible. | Robust Spearman correlation is an outlier-resistant measure of monotonic association between two variables. It applies robustification strategies — such as Winsorizing extreme ranks or using the percentage-bend approach — to protect Spearman's rho against distortion from outliers or heavy-tailed distributions, while retaining its nonparametric rank-based character. |
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