Bandingkan metode

	Korelasi Spearman Robust	Korelasi Pearson Robust
Bidang	Statistika	Statistika
Keluarga	Hypothesis test	Hypothesis test
Tahun asal	1990s–2000s	1970s–1990s
Pencetus	Rand R. Wilcox (robust extensions); Charles Spearman (base method, 1904)	Rand R. Wilcox and predecessors in robust statistics
Tipe	Robust nonparametric 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	Winsorized Spearman correlation, robust rank correlation, trimmed Spearman correlation, outlier-resistant Spearman	winsorized correlation, percentage bend correlation, robust r, outlier-resistant correlation
Terkait	5	3
Ringkasan	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.	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.