विधियों की तुलना करें

	Robust Spearman Correlation	सुदृढ़ पियर्सन सहसंबंध
क्षेत्र	सांख्यिकी	सांख्यिकी
परिवार	Hypothesis test	Hypothesis test
उद्भव वर्ष	1990s–2000s	1970s–1990s
प्रवर्तक	Rand R. Wilcox (robust extensions); Charles Spearman (base method, 1904)	Rand R. Wilcox and predecessors in robust statistics
प्रकार	Robust nonparametric correlation	Robust bivariate association measure
मौलिक स्रोत	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
उपनाम	Winsorized Spearman correlation, robust rank correlation, trimmed Spearman correlation, outlier-resistant Spearman	winsorized correlation, percentage bend correlation, robust r, outlier-resistant correlation
संबंधित	5	3
सारांश	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.