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Hypothesis testClassical statistics

稳健Mann-Whitney U检验

稳健Mann-Whitney U检验是一种非参数双样本比较方法,它将经典的Mann-Whitney U检验的秩基础逻辑与现代稳健技术(如异常值筛选、修匀均值或稳健方差估计)相结合,以便在数据包含极端值、重尾分布或其他可能损害标准检验的违背假设时,能够产生可靠的推断。

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来源

  1. Wilcox, R. R. (2005). Introduction to Robust Estimation and Hypothesis Testing (2nd ed.). Academic Press. ISBN: 978-0127515427
  2. Wilcox, R. R., & Keselman, H. J. (2003). Modern robust data analysis methods: Measures of central tendency. Psychological Methods, 8(3), 254–274. DOI: 10.1037/1082-989X.8.3.254

如何引用本页

ScholarGate. (2026, June 3). Robust Mann-Whitney U Test. ScholarGate. https://scholargate.app/zh/statistics/robust-mann-whitney-u-test

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被引用于

ScholarGateRobust Mann-Whitney U test (Robust Mann-Whitney U Test). 于 2026-06-15 检索自 https://scholargate.app/zh/statistics/robust-mann-whitney-u-test · 数据集: https://doi.org/10.5281/zenodo.20539026