Methoden vergelijken

	Robuuste ANOVA met herhaalde metingen	Robuuste One-Way ANOVA
Vakgebied	Statistiek	Statistiek
Familie	Hypothesis test	Hypothesis test
Jaar van ontstaan	1990s–2000s	1951 (Welch); 1990s–2000s (trimmed-mean variants)
Grondlegger	Rand R. Wilcox	B. L. Welch; R. R. Wilcox (trimmed-mean extension)
Type	Robust parametric mean comparison	Robust parametric group comparison
Oorspronkelijke bron	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
Aliassen	robust within-subjects ANOVA, trimmed-mean repeated measures ANOVA, robust RM-ANOVA, heteroscedastic repeated measures ANOVA	trimmed-mean ANOVA, Welch one-way ANOVA, heteroscedastic one-way ANOVA, robust ANOVA
Verwant	6	2
Samenvatting	Robust repeated measures ANOVA tests whether population trimmed means differ across three or more repeated conditions or time points measured on the same subjects. By replacing ordinary means with 20% trimmed means and replacing variances with Winsorized estimates, it maintains acceptable Type I error and power when data are non-normal, skewed, or contain outliers — conditions under which classical repeated measures ANOVA routinely breaks down.	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.