Hypothesis testClassical statistics
稳健的协方差分析
稳健的协方差分析是一种协变量调整后的组间比较方法，它用稳健估计方法（通常是截尾均值或 M 估计量）替代经典协方差分析中的普通最小二乘估计，从而在数据包含异常值、重尾分布或异方差误差时，该检验仍能保持有效的 I 类错误控制和合理的功效。
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来源
- Wilcox, R. R. (2012). Introduction to Robust Estimation and Hypothesis Testing (3rd ed.). Academic Press. ISBN: 978-0123869838
- Keselman, H. J., Wilcox, R. R., Algina, J., Fradette, K., & Othman, A. R. (2008). A comparative study of robust tests for spread: Asymmetric trimming strategies. British Journal of Mathematical and Statistical Psychology, 61(2), 235–253. DOI: 10.1348/000711008x299742 ↗
如何引用本页
ScholarGate. (2026, June 3). Robust Analysis of Covariance. ScholarGate. https://scholargate.app/zh/statistics/robust-ancova
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