The generalized linear models are presented in this chapter for different types of outcome variables. The estimation of GLM parameters can be obtained by using the maximum likelihood method expressed in terms of chain rules resulting in estimating equations for different link functions. The estimation process involves score equations and information specific to the GLM context. The residual deviance and goodness of fit discussed as a measure of variability across observations.