Salīdzināt metodes

	Robustā Spīrmena korelācija	Robustā Pīrsona korelācija
Nozare	Statistika	Statistika
Saime	Hypothesis test	Hypothesis test
Izcelsmes gads	1990s–2000s	1970s–1990s
Autors	Rand R. Wilcox (robust extensions); Charles Spearman (base method, 1904)	Rand R. Wilcox and predecessors in robust statistics
Tips	Robust nonparametric correlation	Robust bivariate association measure
Pirmavots	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
Citi nosaukumi	Winsorized Spearman correlation, robust rank correlation, trimmed Spearman correlation, outlier-resistant Spearman	winsorized correlation, percentage bend correlation, robust r, outlier-resistant correlation
Saistītās	5	3
Kopsavilkums	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.