Salīdzināt metodes

	Robust ANCOVA	Robustā neatkarīgo paraugu t-kriterijs
Nozare	Statistika	Statistika
Saime	Hypothesis test	Hypothesis test
Izcelsmes gads	1990s–2000s	1974–1990s
Autors	Rand R. Wilcox and colleagues	Rand R. Wilcox; Karen K. Yuen (trimmed-mean form)
Tips	Robust parametric covariate-adjusted comparison	Robust parametric mean comparison
Pirmavots	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
Citi nosaukumi	robust ANCOVA, heteroscedastic ANCOVA, trimmed-mean ANCOVA, resistant ANCOVA	Yuen's t-test, trimmed-mean t-test, Winsorized t-test, robust two-sample test
Saistītās	4	2
Kopsavilkums	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.