방법 비교

	강건 반복 측정 분산 분석 (Robust Repeated Measures ANOVA)	강건한 일원 분산 분석 (Robust One-Way ANOVA)
분야	통계학	통계학
계열	Hypothesis test	Hypothesis test
기원 연도	1990s–2000s	1951 (Welch); 1990s–2000s (trimmed-mean variants)
창시자	Rand R. Wilcox	B. L. Welch; R. R. Wilcox (trimmed-mean extension)
유형	Robust parametric mean comparison	Robust parametric group comparison
원전	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
별칭	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
관련	6	2
요약	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.