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稳健零膨胀模型

稳健零膨胀模型通过用稳健估计技术(M估计量、三明治标准误)替代或补充经典的极大似然估计,来扩展标准的零膨胀计数回归——该回归通过零点质量与计数分布的混合来处理过多的零值——这些稳健估计技术可以防止离群观测值产生扭曲影响。

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来源

  1. 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
  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 Zero-Inflated Count Regression Model. ScholarGate. https://scholargate.app/zh/statistics/robust-zero-inflated-model

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ScholarGateRobust Zero-Inflated Model (Robust Zero-Inflated Count Regression Model). 于 2026-06-15 检索自 https://scholargate.app/zh/statistics/robust-zero-inflated-model · 数据集: https://doi.org/10.5281/zenodo.20539026