Bayesian methods
贝叶斯 t 检验
由 Rouder 及其同事于 2009 年正式提出的贝叶斯 t 检验，是一种在贝叶斯框架下工作的两组比较方法。它不产生 p 值，而是生成贝叶斯因子 (BF₁₀)，用于量化数据相对于零假设为备择假设提供的证据强度，并报告标准化效应量 δ 的完整后验分布及其最高密度区间。
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来源
- 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: 10.3758/PBR.16.2.225 ↗
如何引用本页
ScholarGate. (2026, June 1). Bayesian t-Test for Two-Group Comparison. ScholarGate. https://scholargate.app/zh/bayesian/bayesian-t-test
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
- 贝叶斯因子检验贝叶斯↔ compare
- 贝叶斯方差分析 (Bayesian ANOVA)贝叶斯↔ compare
- Bayesian Regression贝叶斯↔ compare
- 独立样本t检验统计学↔ compare
- Mann-Whitney U 检验统计学↔ compare