Hypothesis testClassical statistics

Bayesian One-Way ANOVA

Bayesian one-way ANOVA tests whether the means of three or more independent groups differ by computing a Bayes factor — a ratio that quantifies how much more likely the data are under a model that allows group differences than under the null model that assumes equal means. Unlike the classical F-test, it provides direct evidence for or against the null hypothesis rather than merely rejecting or retaining it.

StatMind ile uygulaSoonVideoSoon

Tam yöntemi oku

Members only

Sign in with a free account to read this section.

Sign in

Sources

  1. Rouder, 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: 10.1016/j.jmp.2012.08.001
  2. Jeffreys, H. (1961). Theory of Probability (3rd ed.). Oxford University Press. ISBN: 978-0198503682

Related methods

Referenced by

ScholarGateBayesian one-way ANOVA (Bayesian One-Way Analysis of Variance). Retrieved 2026-06-04 from https://scholargate.app/tr/statistics/bayesian-one-way-anova