The generalized linear model is, as the title suggests, a more general form of the classic linear model.
Given a set of explanatory variables the response values follow a distribution from the exponential family.
For instance, the response variable may be count data, so that the errors have a Poisson distribution.
can be found by Fisher Scoring, an iterative procedure.