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贝叶斯双因素方差分析

贝叶斯双因素方差分析通过用贝叶斯因子和后验分布取代p值,扩展了经典的双因素方差分析。它使用先验加权的贝叶斯模型平均来量化主效应及其交互作用的证据,从而得出可以直接用概率术语解释的结论,而不是依赖于固定的显著性阈值。

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来源

  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

如何引用本页

ScholarGate. (2026, June 3). Bayesian Two-Way Analysis of Variance. ScholarGate. https://scholargate.app/zh/statistics/bayesian-two-way-anova

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被引用于

ScholarGateBayesian two-way ANOVA (Bayesian Two-Way Analysis of Variance). 于 2026-06-15 检索自 https://scholargate.app/zh/statistics/bayesian-two-way-anova · 数据集: https://doi.org/10.5281/zenodo.20539026