A Short Primer On Generalized Linear Models (GLM)
Generalized Linear Models (GLM) refers to a large class of models which include the familiar ordinary linear regression — ordinary least squares (OLS) regression — and the analysis of variance (ANOVA) models. A bag loaded with tricks (models, rather) Both OLS regression and ANOVA deal with continuous response variables. However, there are times that we need to predict a categorical response variable, for example, yes/no responses and count data. For this purpose, other models like logit, log-linear, and probit model, just to name some, will be appropriate. Yes, there’s a lot of models in the GLM domain. It is easy…
Share
