Vertaile menetelmiä

	Robust Pearsonin korrelaatio	Spearmanin järjestyskorrelaatiokerroin
Tieteenala	Tilastotiede	Tilastotiede
Menetelmäperhe	Hypothesis test	Hypothesis test
Syntyvuosi	1970s–1990s	1904
Kehittäjä	Rand R. Wilcox and predecessors in robust statistics	Charles Spearman
Tyyppi	Robust bivariate association measure	Nonparametric rank-based correlation
Alkuperäislähde	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.
Rinnakkaisnimet	winsorized correlation, percentage bend correlation, robust r, outlier-resistant correlation	Spearman's rho, Spearman rank-order correlation, Spearman Sıra Korelasyonu
Liittyvät	3	4
Tiivistelmä	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.	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.