Fitting Generalized Linear Models – Introduction

First of all let state the properties of generalized linear model:

  • Exponential dispersion family
  • Function of mean value linear
  • Independent observations
  • Variance function of mean

Compared with classical GLM, in the Generalized linear model, assumption of normally distributed observations with constant variance is relaxed. We look at two generalized linear models with different distributions of error terms – Poisson and Gamma.

 

 

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