Vertaile menetelmiä

	Robust ANCOVA	Robustinen riippumattomien otosten t-testi
Tieteenala	Tilastotiede	Tilastotiede
Menetelmäperhe	Hypothesis test	Hypothesis test
Syntyvuosi	1990s–2000s	1974–1990s
Kehittäjä	Rand R. Wilcox and colleagues	Rand R. Wilcox; Karen K. Yuen (trimmed-mean form)
Tyyppi	Robust parametric covariate-adjusted 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	robust ANCOVA, heteroscedastic ANCOVA, trimmed-mean ANCOVA, resistant ANCOVA	Yuen's t-test, trimmed-mean t-test, Winsorized t-test, robust two-sample test
Liittyvät	4	2
Tiivistelmä	Robust ANCOVA is a covariate-adjusted group comparison that replaces classical ANCOVA's ordinary least squares estimation with resistant methods — typically trimmed means or M-estimators — so that the test retains valid Type I error control and reasonable power when data contain outliers, heavy-tailed distributions, or heteroscedastic errors.	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.