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An empirical approach to determine a threshold for assessing overdispersion in Poisson and negative binomial models for count data

Overdispersion is a problem encountered in the analysis of count data that can lead to invalid inference if unaddressed. Decision about whether data are overdispersed is often reached by checking whether the ratio of the Pearson chi-square statistic to its degrees of freedom is greater than one; how...

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Détails bibliographiques
Publié dans:Commun Stat Simul Comput
Auteurs principaux: Payne, Elizabeth H., Gebregziabher, Mulugeta, Hardin, James W., Ramakrishnan, Viswanathan, Egede, Leonard E.
Format: Artigo
Langue:Inglês
Publié: 2018
Sujets:
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC6290908/
https://ncbi.nlm.nih.gov/pubmed/30555205
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/03610918.2017.1323223
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