Сравнение на методи

	Устойчив тест на Ман-Уитни U	Робастен t-тест за независими извадки
Област	Статистика	Статистика
Семейство	Hypothesis test	Hypothesis test
Година на възникване	1947 / 2003	1974–1990s
Създател	Rand Wilcox (robust extensions); original test by Mann & Whitney (1947)	Rand R. Wilcox; Karen K. Yuen (trimmed-mean form)
Тип	Robust nonparametric two-group comparison	Robust parametric mean comparison
Основополагащ източник	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
Други названия	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
Свързани	1	2
Резюме	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.