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稳健负二项回归

稳健负二项回归模型使用负二项分布来建模过度离散的计数结果,同时保护系数推断免受方差函数错误指定的影响。它将均值和离散参数的最大似然估计与“三明治”(Huber-White)标准误差相结合,即使假设的方差结构仅近似正确,也能产生有效的检验。

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来源

  1. Hilbe, J. M. (2011). Negative Binomial Regression (2nd ed.). Cambridge University Press. ISBN: 978-0521198158
  2. Zeileis, A., Kleiber, C., & Jackman, S. (2008). Regression Models for Count Data in R. Journal of Statistical Software, 27(8), 1–25. DOI: 10.18637/jss.v027.i08

如何引用本页

ScholarGate. (2026, June 3). Robust Negative Binomial Regression. ScholarGate. https://scholargate.app/zh/statistics/robust-negative-binomial-regression

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被引用于

ScholarGateRobust Negative Binomial Regression (Robust Negative Binomial Regression). 于 2026-06-15 检索自 https://scholargate.app/zh/statistics/robust-negative-binomial-regression · 数据集: https://doi.org/10.5281/zenodo.20539026