on a simple pseudolikelihood, called “pairwise likelihood.” Its merit is to reduce the computational burden so that it is …

error terms in quantile regression with repeated measurements, we propose a Gaussian pseudolikelihood approach for …

estimator under misspecification and derive a new test for overdispersion in the binomial fixed effects logit model. Models and …

misspecification and derive a new test for overdispersion. Estimator and test are applied in a study of contracted working volumes …

The phenomenon of overdispersion arises when categorical or count data exhibit variability larger than expected … Quasi-Likelihood estimation by Wedderburn (1974) are also available. The likelihood methods require full knowledge of the … likelihood counterparts. The GEE and Quasi-Likelihood approaches only require correct specification of the first two moments. The …

. Yet zero-inflated Poisson Quasi-Likelihood (PQL) is a reliable alternative. It is consistent even under model …

-inflated models in which overdispersion is assumed to be caused by an excessive number of zeros are discussed. In addition to ZIGP … regression introduced by Famoye and Singh (2003), we now allow for regression on the overdispersion and zero-inflation parameters …

Count data often exhibit overdispersion and/or require an adjustment for zero outcomes with respect to a Poisson model …

of tables, there are tendencies for overdispersion in which the variance of the outcome or response exceeds the nominal …