Hypothesis testClassical statistics
贝叶斯 Mann-Whitney U 检验
贝叶斯 Mann-Whitney U 检验是一种非参数贝叶斯程序，用于在数据为有序或非正态连续时比较两个独立组。它不进行二元的拒绝/不拒绝决策，而是通过贝叶斯因子量化零假设和备择假设的相对证据，从而允许研究人员支持任一假设或表达不确定性。
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来源
- van Doorn, J., Ly, A., Marsman, M., & Wagenmakers, E.-J. (2020). Bayesian rank-based hypothesis testing for the rank sum test, the signed rank test, and Spearman's rho. Journal of Applied Statistics, 47(16), 2984–3006. DOI: 10.1080/02664763.2019.1709053 ↗
- Mann, H. B., & Whitney, D. R. (1947). On a test of whether one of two random variables is stochastically larger than the other. The Annals of Mathematical Statistics, 18(1), 50–60. DOI: 10.1214/aoms/1177730491 ↗
如何引用本页
ScholarGate. (2026, June 3). Bayesian Mann-Whitney U Test. ScholarGate. https://scholargate.app/zh/statistics/bayesian-mann-whitney-u-test
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