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Hypothesis testClassical statistics

稳健功效分析

稳健功效分析计算假设检验的统计功效或所需样本量,这些检验使用稳健估计量(如截尾均值或Winsor化方差)而非普通均值和标准差。当数据包含异常值、重尾或偏度违反经典正态性假设时,它可以防止功效估计值过高或过低。

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来源

  1. Luh, W.-M., & Guo, J.-H. (2010). Approximate sample size formulas for the two-sample trimmed mean test with unequal variances. British Journal of Mathematical and Statistical Psychology, 63(1), 83–100. link
  2. Wilcox, R. R. (2012). Introduction to Robust Estimation and Hypothesis Testing (3rd ed.). Academic Press. ISBN: 978-0123869838

如何引用本页

ScholarGate. (2026, June 3). Robust Statistical Power Analysis. ScholarGate. https://scholargate.app/zh/statistics/robust-power-analysis

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ScholarGateRobust power analysis (Robust Statistical Power Analysis). 于 2026-06-15 检索自 https://scholargate.app/zh/statistics/robust-power-analysis · 数据集: https://doi.org/10.5281/zenodo.20539026