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Velča dispersijas analīze×Vienvirziena dispersijas analīze×
NozareStatistikaStatistika
SaimeHypothesis testHypothesis test
Izcelsmes gads19511925
AutorsB. L. WelchRonald A. Fisher
TipsParametric mean comparison (heteroscedastic)Parametric mean comparison
PirmavotsWelch, B.L. (1951). On the Comparison of Several Mean Values. Biometrika, 38(3/4), 330–336. link ↗Fisher, R. A. (1925). Statistical Methods for Research Workers. Edinburgh: Oliver and Boyd. link ↗
Citi nosaukumiWelch's F-test, heteroscedastic one-way ANOVA, Welch ANOVA — Heterojen Varyans ANOVAone-factor ANOVA, single-factor ANOVA, analysis of variance, tek yönlü ANOVA
Saistītās34
KopsavilkumsWelch 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.One-way ANOVA is a parametric hypothesis test that compares the means of three or more independent groups on a single continuous outcome to decide whether at least one group mean differs. It rests on the variance-partitioning framework introduced by Ronald A. Fisher in 1925.
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ScholarGateSalīdzināt metodes: Welch ANOVA · One-way ANOVA. Izgūts 2026-06-19 no https://scholargate.app/lv/compare