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تحليل التباين لويلش (Welch's Analysis of Variance)×اختبار ت ของ ولش (تباينات غير متساوية)×
المجالالإحصاءالإحصاء
العائلةHypothesis testHypothesis test
سنة النشأة19511947
صاحب الطريقةB. L. WelchB. L. Welch
النوعParametric mean comparison (heteroscedastic)Parametric mean comparison (unequal variances)
المصدر التأسيسيWelch, B.L. (1951). On the Comparison of Several Mean Values. Biometrika, 38(3/4), 330–336. link ↗Welch, B. L. (1947). The generalization of Student's problem when several different population variances are involved. Biometrika, 34(1/2), 28–35. DOI ↗
الأسماء البديلةWelch's F-test, heteroscedastic one-way ANOVA, Welch ANOVA — Heterojen Varyans ANOVAunequal variances t-test, Welch-Satterthwaite t-test, Welch t-Testi (Eşit Olmayan Varyans)
ذات صلة34
الملخصWelch ANOVA is a parametric hypothesis test that compares the means of three or more independent groups when their variances are not equal. Introduced by B. L. Welch in 1951, it replaces classic one-way ANOVA whenever the homogeneity-of-variance assumption fails, while still requiring approximately normal data.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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ScholarGateقارن الطرق: Welch ANOVA · Welch t-test. استُرجع بتاريخ 2026-06-19 من https://scholargate.app/ar/compare