Salīdzināt metodes

	Robustā Spīrmena korelācija	Spīrmena ranga sakarības koeficients
Nozare	Statistika	Statistika
Saime	Hypothesis test	Hypothesis test
Izcelsmes gads	1990s–2000s	1904
Autors	Rand R. Wilcox (robust extensions); Charles Spearman (base method, 1904)	Charles Spearman
Tips	Robust nonparametric correlation	Nonparametric rank-based correlation
Pirmavots	Wilcox, R. R. (2012). Introduction to Robust Estimation and Hypothesis Testing (3rd ed.). Academic Press. ISBN: 978-0123869838	Spearman, C. (1904). The proof and measurement of association between two things. The American Journal of Psychology, 15, 72–101.
Citi nosaukumi	Winsorized Spearman correlation, robust rank correlation, trimmed Spearman correlation, outlier-resistant Spearman	Spearman's rho, Spearman rank-order correlation, Spearman Sıra Korelasyonu
Saistītās	5	4
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 Spearman rank correlation coefficient (ρ) is a nonparametric measure of the monotonic association between two variables. Introduced by Charles Spearman in 1904, it converts raw observations to ranks and measures how consistently one variable increases as the other increases, without assuming a normal distribution or a linear relationship.