Salīdzināt metodes

	Robustā viena virziena ANOVA	Robustā neatkarīgo paraugu t-kriterijs
Nozare	Statistika	Statistika
Saime	Hypothesis test	Hypothesis test
Izcelsmes gads	1951 (Welch); 1990s–2000s (trimmed-mean variants)	1974–1990s
Autors	B. L. Welch; R. R. Wilcox (trimmed-mean extension)	Rand R. Wilcox; Karen K. Yuen (trimmed-mean form)
Tips	Robust parametric group 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	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
Saistītās	2	2
Kopsavilkums	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.