Bayesian methods
贝叶斯方差分析 (Bayesian ANOVA)
由 Rouder、Morey、Speckman 和 Province (2012) 正式化的贝叶斯方差分析 (Bayesian ANOVA) 通过量化替代假设相对于零假设的证据来检验各组均值是否不同，其依据是贝叶斯因子 (Bayes Factor, BF₁₀)。与经典方差分析不同，它还能衡量支持零假设的证据，因此在各组均无差异时同样具有信息量。
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来源
- 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 ↗
如何引用本页
ScholarGate. (2026, June 1). Bayesian Analysis of Variance with Bayes Factors. ScholarGate. https://scholargate.app/zh/bayesian/bayesian-anova
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