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Regression model

Gamma回归(GLM)

Gamma回归是一种广义线性模型,它使用gamma分布来模拟一个正的、右偏的连续结果变量。它是在McCullagh和Nelder(1989)的广义线性模型框架内开发的,是普通线性回归在医疗费用、持续时间、收入等变量上的替代方法。

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来源

  1. McCullagh, P. & Nelder, J. A. (1989). Generalized Linear Models (2nd ed.). Chapman and Hall. DOI: 10.1201/9780203753736

如何引用本页

ScholarGate. (2026, June 1). Gamma Regression (Generalized Linear Model). ScholarGate. https://scholargate.app/zh/statistics/gamma-regression

Which method?

Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.

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被引用于

ScholarGateGamma Regression (Gamma Regression (Generalized Linear Model)). 于 2026-06-15 检索自 https://scholargate.app/zh/statistics/gamma-regression · 数据集: https://doi.org/10.5281/zenodo.20539026