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稳健广义线性模型

稳健广义线性模型(Robust Generalized Linear Model)使用 M 型估计方程来拟合标准的 GLM 系列模型——线性、逻辑斯蒂、泊松等——这些方程会降低异常值或有影响力的观测值的权重。其结果是,即使少数数据点与假定分布发生显著偏离,得到的系数估计值和标准误也能保持稳定。

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来源

  1. Heritier, S., Cantoni, E., Copt, S., & Victoria-Feser, M.-P. (2009). Robust Methods in Biostatistics. Wiley. ISBN: 978-0470027264
  2. Cantoni, E., & Ronchetti, E. (2001). Robust inference for generalized linear models. Journal of the American Statistical Association, 96(455), 1022–1030. DOI: 10.1198/016214501753209004

如何引用本页

ScholarGate. (2026, June 3). Robust Generalized Linear Model. ScholarGate. https://scholargate.app/zh/statistics/robust-generalized-linear-model

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被引用于

ScholarGateRobust Generalized linear model (Robust Generalized Linear Model). 于 2026-06-15 检索自 https://scholargate.app/zh/statistics/robust-generalized-linear-model · 数据集: https://doi.org/10.5281/zenodo.20539026