Salīdzināt metodes

	Robustais Mann-Whitney U tests	Robustā neatkarīgo paraugu t-kriterijs
Nozare	Statistika	Statistika
Saime	Hypothesis test	Hypothesis test
Izcelsmes gads	1947 / 2003	1974–1990s
Autors	Rand Wilcox (robust extensions); original test by Mann & Whitney (1947)	Rand R. Wilcox; Karen K. Yuen (trimmed-mean form)
Tips	Robust nonparametric two-group comparison	Robust parametric mean comparison
Pirmavots	Wilcox, R. R. (2005). Introduction to Robust Estimation and Hypothesis Testing (2nd ed.). Academic Press. ISBN: 978-0127515427	Wilcox, R. R. (2012). Introduction to Robust Estimation and Hypothesis Testing (3rd ed.). Academic Press. ISBN: 978-0123869838
Citi nosaukumi	robust Wilcoxon rank-sum test, robust two-sample rank test, outlier-resistant Mann-Whitney test, robust nonparametric two-group comparison	Yuen's t-test, trimmed-mean t-test, Winsorized t-test, robust two-sample test
Saistītās	1	2
Kopsavilkums	The Robust Mann-Whitney U test is a nonparametric two-group comparison that combines the rank-based logic of the classic Mann-Whitney U test with modern robust techniques — such as outlier screening, trimmed means, or robust variance estimation — to produce reliable inferences when data contain extreme values, heavy-tailed distributions, or other violations that compromise the standard test.	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.