Corrected Estimators in Extended Quasi-Likelihood Models
This paper addresses extended quasi-likelihood models where both the mean and the dispersion parameters vary across observations in a parameterized fashion. We derive formulae for the second-order biases of the maximum quasi-likelihood estimators of all parameters in these models. The practical use of such bias corrections is illustrated in a simulation study.