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Document type:
Zeitschriftenaufsatz 
Author(s):
Gschlößl, S., Czado, C. 
Title:
Modelling count data with overdispersion and spatial effects 
Abstract:
In this paper we consider regression models for count data allowing for overdispersion in a Bayesian framework. We account for unobserved heterogeneity in the data in two ways. On the one hand, we consider more flexible models than a common Poisson model allowing for overdispersion in different ways. In particular, the negative binomial and the generalized Poisson distribution are addressed where overdispersion is modelled by an additional model parameter. Further, zero-inflated models in whic...    »
 
Journal title:
Statistical Papers 
Year:
2008 
Journal issue:
49(3) 
Pages contribution:
531-552 
Reviewed:
ja 
Language:
en 
Semester:
SS 08 
Format:
Text