In generalized linear models, the response is assumed to possess a probability distribution of the exponential form. That is, the probability density of the response Y for continuous response ...

What is a Generalized Linear Model? A traditional linear model is of the form where yi is the response variable for the i th observation. The quantity xi is a column vector of covariates, or ...

Statistical approaches to overdispersion, correlated errors, shrinkage estimation, and smoothing of regression relationships may be encompassed within the framework of the generalized linear mixed ...

In this module, we will introduce generalized linear models (GLMs) through the study of binomial data. In particular, we will motivate the need for GLMs; introduce the binomial regression model, ...

Generalized Linear Models Generalized Linear Models Course Topics Many response variables are handled poorly by regression models when the errors are assumed to be normally distributed. For example, ...

Heng Lian, Hua Liang, Lan Wang, GENERALIZED ADDITIVE PARTIAL LINEAR MODELS FOR CLUSTERED DATA WITH DIVERGING NUMBER OF COVARIATES USING GEE, Statistica Sinica, Vol. 24, No. 1 (January 2014), pp.