Overdispersion: models and estimation

@inproceedings{Hinde1998OverdispersionMA,
  title={Overdispersion: models and estimation},
  author={John Hinde and Clarice Garcia Borges Dem{\'e}trio},
  year={1998}
}
Overdispersion models for discrete data are considered and placed in a general framework. A distinction is made between completely specified models and those with only a mean-variance specification. Different formulations for the overdispersion mechanism can lead to different variance functions which can be placed within a general family. In addition, many different estimation methods have been proposed, including maximum likelihood, moment methods, extended quasi-likelihood, pseudo-likelihood… CONTINUE READING
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