Regression modelRegression / GLM
广义线性模型 (GLM)
广义线性模型 (Generalized Linear Model, GLM) 是一个统一的回归框架，它将普通线性回归扩展到指数族分布的响应变量——包括二元、计数、比例和连续正值响应变量。连接函数将线性预测器与响应变量的均值联系起来，从而能够在高斯情况之外进行原理性的建模。
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来源
- Nelder, J. A., & Wedderburn, R. W. M. (1972). Generalized linear models. Journal of the Royal Statistical Society: Series A (General), 135(3), 370–384. DOI: 10.2307/2344614 ↗
- McCullagh, P., & Nelder, J. A. (1989). Generalized Linear Models (2nd ed.). Chapman and Hall/CRC. ISBN: 978-0412317606
如何引用本页
ScholarGate. (2026, June 3). Generalized Linear Model. ScholarGate. https://scholargate.app/zh/statistics/generalized-linear-model
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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