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Bayesiansk ANOVA×Bayes-faktor test×
FagområdeBayesianskBayesiansk
FamilieBayesian methodsBayesian methods
Oprindelsesår20121961
OphavspersonRouder, Morey, Speckman & ProvinceHarold Jeffreys
TypeBayesian hypothesis test / group comparisonBayesian hypothesis comparison
Oprindelig kildeRouder, J. N., Morey, R. D., Speckman, P. L. & Province, J. M. (2012). Default Bayes Factors for ANOVA Designs. Journal of Mathematical Psychology, 56(5), 356–374. DOI ↗Jeffreys, H. (1961). Theory of Probability (3rd ed.). Clarendon Press / Oxford University Press. ISBN: 978-0198503682
Aliasserbayesian analysis of variance, bayes factor ANOVA, JZS ANOVA, Bayesçi ANOVA — Bayes Faktörü ile Grup Karşılaştırmasıbayes factor, BF10, Bayesian hypothesis test, Bayes Faktörü — Hipotez Testi
Relaterede43
ResuméBayesian ANOVA, formalised by Rouder, Morey, Speckman and Province (2012), tests whether group means differ by quantifying the evidence for the alternative hypothesis relative to the null using the Bayes Factor (BF₁₀). Unlike classical ANOVA, it can also measure evidence in favour of the null hypothesis, making it equally informative when groups do not differ.The 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.
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ScholarGateSammenlign metoder: Bayesian ANOVA · Bayes Factor Test. Hentet 2026-06-15 fra https://scholargate.app/da/compare