Сравнение методов

	Робастная многомерная дисперсия (Robust MANOVA)	Робастная однофакторная дисперсионная структура ANOVA
Область	Статистика	Статистика
Семейство	Hypothesis test	Hypothesis test
Год появления	1990s–2000s	1951 (Welch); 1990s–2000s (trimmed-mean variants)
Автор метода	Rand Wilcox; Lisa Lix and H. J. Keselman	B. L. Welch; R. R. Wilcox (trimmed-mean extension)
Тип	Robust multivariate mean comparison	Robust parametric group comparison
Основополагающий источник	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
Другие названия	robust multivariate ANOVA, trimmed-mean MANOVA, outlier-resistant MANOVA, robust MANOVA	trimmed-mean ANOVA, Welch one-way ANOVA, heteroscedastic one-way ANOVA, robust ANOVA
Связанные	5	2
Сводка	Robust MANOVA is a multivariate analysis of variance procedure designed to remain valid when classical assumptions — multivariate normality and homogeneity of covariance matrices — are violated. It replaces raw means and standard covariance matrices with resistant estimates such as trimmed means and Winsorized covariances, yielding reliable Type I error control and power in the presence of outliers and skewed distributions across multiple dependent variables simultaneously.	Robust one-way ANOVA compares the central tendency of three or more independent groups while resisting the distorting effects of outliers and heterogeneous variances. By replacing ordinary means with trimmed means and ordinary variances with Winsorized variances, it maintains accurate Type I error control and strong power when classical ANOVA assumptions are violated.