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Hierarchical Bayesian Analysis of Correlated Zero-inflated Count Data

✍ Scribed by Getachew A. Dagne

Publisher: John Wiley and Sons
Year: 2004
Tongue: English
Weight: 120 KB
Volume: 46
Category: Article
ISSN: 0323-3847
DOI: 10.1002/bimj.200310077

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✦ Synopsis

Abstract

This article presents two‐component hierarchical Bayesian models which incorporate both overdispersion and excess zeros. The components may be resultants of some intervention (treatment) that changes the rare event generating process. The models are also expanded to take into account any heterogeneity that may exist in the data. Details of the model fitting, checking and selecting alternative models from a Bayesian perspective are also presented. The proposed methods are applied to count data on the assessment of an efficacy of pesticides in controlling the reproduction of whitefly. (© 2004 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)

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