Vertaile menetelmiä

	Robustin Spearmanin korrelaatio	Robustinen riippumattomien otosten t-testi
Tieteenala	Tilastotiede	Tilastotiede
Menetelmäperhe	Hypothesis test	Hypothesis test
Syntyvuosi	1990s–2000s	1974–1990s
Kehittäjä	Rand R. Wilcox (robust extensions); Charles Spearman (base method, 1904)	Rand R. Wilcox; Karen K. Yuen (trimmed-mean form)
Tyyppi	Robust nonparametric correlation	Robust parametric mean comparison
Alkuperäislähde	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
Rinnakkaisnimet	Winsorized Spearman correlation, robust rank correlation, trimmed Spearman correlation, outlier-resistant Spearman	Yuen's t-test, trimmed-mean t-test, Winsorized t-test, robust two-sample test
Liittyvät	5	2
Tiivistelmä	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 independent samples t-test compares the central tendency of two independent groups using trimmed means and Winsorized variances, making it substantially less sensitive to outliers and non-normality than the classical Student or Welch t-test. The most widely used form is Yuen's test, which also accommodates unequal variances across groups.