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المجالالإحصاءبايزي
العائلةHypothesis testBayesian methods
سنة النشأة1961 (foundations); 2012 (default Bayes factor formulation)2009
صاحب الطريقةHarold Jeffreys (foundational); modern default-prior form by Jeffrey N. Rouder et al.Rouder, Speckman, Sun, Morey & Iverson
النوعBayesian hypothesis testBayesian hypothesis test
المصدر التأسيسيRouder, 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 ↗Rouder, J. N., Speckman, P. L., Sun, D., Morey, R. D. & Iverson, G. (2009). Bayesian t Tests for Accepting and Rejecting the Null Hypothesis. Psychonomic Bulletin & Review, 16(2), 225–237. DOI ↗
الأسماء البديلةBayesian factorial ANOVA, Bayes factor two-way ANOVA, Bayesian 2×k ANOVA, Bayesian two-factor ANOVAbayesian two-sample t-test, bayes factor t-test, Bayesçi t-Testi
ذات صلة45
الملخصBayesian two-way ANOVA extends the classical two-way analysis of variance by replacing p-values with Bayes factors and posterior distributions. It quantifies evidence for or against main effects and their interaction using prior-weighted model comparison, yielding conclusions that are directly interpretable in probabilistic terms rather than relying on a fixed significance threshold.The Bayesian t-test, formalised by Rouder and colleagues in 2009, is a two-group comparison method that works within a Bayesian framework. Instead of a p-value, it produces a Bayes Factor (BF₁₀) that quantifies the evidence the data provide for the alternative hypothesis relative to the null, and it reports the full posterior distribution of the standardised effect size δ with a highest-density interval.
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  1. v1
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ScholarGateقارن الطرق: Bayesian two-way ANOVA · Bayesian t-Test. استُرجع بتاريخ 2026-06-17 من https://scholargate.app/ar/compare