  M-estimators for Generalized Linear Models are considered under minimal
assumptions. Under these preliminaries, strong convergence of the estimators
are discussed and an expansion of the estimating operators are given in the
non-i.i.d. case with the i.i.d. case shown as a particular application. Various
consequences of the results are discussed for binary and continuous models.
