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July 2011 Beta-binomial/gamma-Poisson regression models for repeated counts with random parameters
Mayra Ivanoff Lora, Julio M. Singer
Braz. J. Probab. Stat. 25(2): 218-235 (July 2011). DOI: 10.1214/10-BJPS118

Abstract

Beta-binomial/Poisson models have been used by many authors to model multivariate count data. Lora and Singer [Stat. Med. 27 (2008) 3366–3381] extended such models to accommodate repeated multivariate count data with overdipersion in the binomial component. To overcome some of the limitations of that model, we consider a beta-binomial/gamma-Poisson alternative that also allows for both overdispersion and different covariances between the Poisson counts. We obtain maximum likelihood estimates for the parameters using a Newton–Raphson algorithm and compare both models in a practical example.

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Mayra Ivanoff Lora. Julio M. Singer. "Beta-binomial/gamma-Poisson regression models for repeated counts with random parameters." Braz. J. Probab. Stat. 25 (2) 218 - 235, July 2011. https://doi.org/10.1214/10-BJPS118

Information

Published: July 2011
First available in Project Euclid: 31 March 2011

zbMATH: 1298.62191
MathSciNet: MR2793927
Digital Object Identifier: 10.1214/10-BJPS118

Rights: Copyright © 2011 Brazilian Statistical Association

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Vol.25 • No. 2 • July 2011
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