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	Korelasi Peringkat Kendall's Tau yang Teguh	Korelasi Pearson Robust
Bidang	Statistik	Statistik
Keluarga	Hypothesis test	Hypothesis test
Tahun asal	1990s–2000s	1970s–1990s
Pengasas	Rand Wilcox; Croux & Dehon (robust extensions)	Rand R. Wilcox and predecessors in robust statistics
Jenis	Robust rank correlation	Robust bivariate association measure
Sumber perintis	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
Berkaitan	5	3
Ringkasan	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.