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Bayesfactor-toets×One-way Analysis of Variance×
VakgebiedBayesiaanse statistiekStatistiek
FamilieBayesian methodsHypothesis test
Jaar van ontstaan19611925
GrondleggerHarold JeffreysRonald A. Fisher
TypeBayesian hypothesis comparisonParametric mean comparison
Oorspronkelijke bronJeffreys, H. (1961). Theory of Probability (3rd ed.). Clarendon Press / Oxford University Press. ISBN: 978-0198503682Fisher, R. A. (1925). Statistical Methods for Research Workers. Edinburgh: Oliver and Boyd. link ↗
Aliassenbayes factor, BF10, Bayesian hypothesis test, Bayes Faktörü — Hipotez Testione-factor ANOVA, single-factor ANOVA, analysis of variance, tek yönlü ANOVA
Verwant34
SamenvattingThe Bayes factor test, formalised by Harold Jeffreys in 1961, is a Bayesian method for comparing two competing hypotheses. Rather than returning a binary reject/retain verdict, it produces a continuous ratio BF₁₀ that quantifies how much more (or less) probable the data are under the alternative hypothesis H₁ than under the null hypothesis H₀.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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ScholarGateMethoden vergelijken: Bayes Factor Test · One-way ANOVA. Geraadpleegd op 2026-06-18 via https://scholargate.app/nl/compare