Abstract #300219

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JSM 2003 Abstract #300219
Activity Number: 293
Type: Contributed
Date/Time: Tuesday, August 5, 2003 : 2:00 PM to 3:50 PM
Sponsor: Section on Bayesian Stat. Sciences
Abstract - #300219
Title: Hierarchical Bayesian Analysis of Correlated Zero-Inflated Count Data
Author(s): Getachew A. Dagne*+
Companies: University of South Florida
Address: 13201 Bruce B Downs Blvd. MDC56, Tampa, FL, 33612,
Keywords: hierarchical models ; Bayesian inference ; zero-inflated ; random effects ; Poisson regression
Abstract:

Two-component Hierarchical Bayesian methods are proposed to model count data with too many zeros when some intervention (treatment) changes the rare event generating process. The models are also expanded to take into account the heterogeneity and correlations existing in the data. Details of the model fitting, checking and selecting alternative models will be presented. The proposed methods are applied to count data on the assessment of an efficacy of pesticides in controlling the reproduction of whiteflies.


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