Comparar métodos
Revisa los métodos seleccionados uno junto a otro; las filas que difieren aparecen resaltadas.
| Correlación robusta de rangos de Tau de Kendall× | Correlación de Pearson Robusta× | |
|---|---|---|
| Campo | Estadística | Estadística |
| Familia | Hypothesis test | Hypothesis test |
| Año de origen≠ | 1990s–2000s | 1970s–1990s |
| Autor original≠ | Rand Wilcox; Croux & Dehon (robust extensions) | Rand R. Wilcox and predecessors in robust statistics |
| Tipo≠ | Robust rank correlation | Robust bivariate association measure |
| Fuente seminal | 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 |
| Alias | robust tau, skipped Kendall's tau, Winsorized Kendall's tau, outlier-resistant rank correlation | winsorized correlation, percentage bend correlation, robust r, outlier-resistant correlation |
| Relacionados≠ | 5 | 3 |
| Resumen≠ | 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. | 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. |
| ScholarGateConjunto de datos ↗ |
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