Vertaile menetelmiä

	Robust one-way ANOVA	Robustinen riippumattomien otosten t-testi
Tieteenala	Tilastotiede	Tilastotiede
Menetelmäperhe	Hypothesis test	Hypothesis test
Syntyvuosi	1951 (Welch); 1990s–2000s (trimmed-mean variants)	1974–1990s
Kehittäjä	B. L. Welch; R. R. Wilcox (trimmed-mean extension)	Rand R. Wilcox; Karen K. Yuen (trimmed-mean form)
Tyyppi	Robust parametric group comparison	Robust parametric mean comparison
Alkuperäislähde	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
Rinnakkaisnimet	trimmed-mean ANOVA, Welch one-way ANOVA, heteroscedastic one-way ANOVA, robust ANOVA	Yuen's t-test, trimmed-mean t-test, Winsorized t-test, robust two-sample test
Liittyvät	2	2
Tiivistelmä	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.	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.