方法证据记录
Bayesian two-way ANOVA
Bayesian 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.
源记录
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Bayesian Two-Way Analysis of Variance
分类方法记录 · hypothesis-test / statistics
- 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
- Jeffreys, H. (1961). Theory of Probability (3rd ed.). Oxford University Press. · ISBN 978-0198503682
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