在统计学上， 广义线性模型 (Generalized linear model) 是一种受到广泛应用的线性回归模式。此模式假设实验者所量测的随机变量的分布函数与实验中系统性效应(即非随机的效应)可经由一链结函数(link function)创建起可资解释其相关性的函数。

John Nelder与Peter McCullagh在****年出版，被视为广义线性模式的代表性文献中提纲挈领地说明了广义线性模式的原理、计算(如最大概似估计量)及其实务应用。

In statistics, the generalized linear model (GLM) is a flexible generalization of ordinary linear regression that allows for response variables that have error distribution models other than a normal distribution. The GLM generalizes linear regression by allowing the linear model to be related to the response variable via a link function and by allowing the magnitude of the variance of each measurement to be a function of its predicted value.