Generalized Linear Model

What is a Generalized Linear Model? Why GLM? Assumptions of GLM Components of GLM Different Generalized Linear Models Difference Between Generalized Linear Model and General Linear Model Can Generalized Linear Models have correlated data? Generalized Linear Model (GLiM, or GLM) is an advanced statistical modelling technique formulated by John Nelder and Robert Wedderburn in 1972. It is an umbrella term that encompasses many other models, which allows the response variable y to have an error distribution other than a normal distribution. The models include Linear Regression, Logistic Regression, and Poisson Regression.