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Regression model

负二项回归

负二项回归是一种广义线性模型,用于计数型结果变量,它扩展了泊松回归以处理过度分散(overdispersion),即计数方差超过其均值的情况。该模型在广义线性模型(GLM)的传统下开发,并由Hilbe(2011)深入阐述,它增加了一个分散参数,使得在泊松模型低估数据散布时,推断仍然有效。

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来源

  1. Hilbe, J. M. (2011). Negative Binomial Regression (2nd ed.). Cambridge University Press. DOI: 10.1017/CBO9780511973420

如何引用本页

ScholarGate. (2026, June 1). Negative Binomial Regression. ScholarGate. https://scholargate.app/zh/econometrics/negative-binomial-regression

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被引用于

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