Methoden vergelijken
Bekijk de geselecteerde methoden naast elkaar; rijen die verschillen zijn gemarkeerd.
| Getrimde-gemiddeldetest (Yuen's test)× | Welch's t-toets (ongelijke varianties)× | |
|---|---|---|
| Vakgebied | Statistiek | Statistiek |
| Familie≠ | Regression model | Hypothesis test |
| Jaar van ontstaan≠ | 1974 | 1947 |
| Grondlegger≠ | Karen K. Yuen | B. L. Welch |
| Type≠ | Robust two-group comparison | Parametric mean comparison (unequal variances) |
| Oorspronkelijke bron≠ | Yuen, K. K. (1974). The Two-Sample Trimmed t for Unequal Population Variances. Biometrika, 61(1), 165-170. DOI ↗ | Welch, B. L. (1947). The generalization of Student's problem when several different population variances are involved. Biometrika, 34(1/2), 28–35. DOI ↗ |
| Aliassen≠ | 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) |
| Verwant | 4 | 4 |
| Samenvatting≠ | 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. |
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