Sammenlign metoder

	Trimmed Mean Test (Yuen's Test)	Welch's t-test (ulige varianser)
Fagområde	Statistik	Statistik
Familie	Regression model	Hypothesis test
Oprindelsesår	1974	1947
Ophavsperson	Karen K. Yuen	B. L. Welch
Type	Robust two-group comparison	Parametric mean comparison (unequal variances)
Oprindelig kilde	Yuen, K. K. (1974). The Two-Sample Trimmed t for Unequal Population Variances. Biometrika, 61(1), 165-170.	Welch, B. L. (1947). The generalization of Student's problem when several different population variances are involved. Biometrika, 34(1/2), 28–35.
Aliasser	Yuen's test, Yuen-Welch test, robust mean comparison, kırpılmış ortalama testi	unequal variances t-test, Welch-Satterthwaite t-test, Welch t-Testi (Eşit Olmayan Varyans)
Relaterede	4	4
Resumé	The trimmed mean test compares two groups using trimmed means, which discard a fixed proportion of the most extreme observations in each tail before averaging. Introduced by Karen K. Yuen in 1974, it is a robust alternative to the classical t-test when the data are non-normal or contain outliers and the population variances are unequal.	Welch's t-test is a parametric hypothesis test that compares the means of two independent groups without assuming their variances are equal. It was introduced by B. L. Welch in 1947 as a more robust generalization of Student's two-sample test for situations where the two groups have different spread.