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Modelling Count Responses with Overdispersion
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 Title & Authors
Modelling Count Responses with Overdispersion
Jeong, Kwang Mo;
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 Abstract
We frequently encounter outcomes of count that have extra variation. This paper considers several alternative models for overdispersed count responses such as a quasi-Poisson model, zero-inflated Poisson model and a negative binomial model with a special focus on a generalized linear mixed model. We also explain various goodness-of-fit criteria by discussing their appropriateness of applicability and cautions on misuses according to the patterns of response categories. The overdispersion models for counts data have been explained through two examples with different response patterns.
 Keywords
Clustered data;overdispersion;quasi-likelihood;dispersion parameter;zero-inflated Poisson;negative binomial;generalized linear mixed model;
 Language
English
 Cited by
1.
Cumulative Sums of Residuals in GLMM and Its Implementation,;;

Communications for Statistical Applications and Methods, 2014. vol.21. 5, pp.423-433 crossref(new window)
1.
Cumulative Sums of Residuals in GLMM and Its Implementation, Communications for Statistical Applications and Methods, 2014, 21, 5, 423  crossref(new windwow)
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