On Zero-Modified Poisson-Sujatha Distribution to Model Overdispersed Count Data
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Published:2018-05-27
Issue:3
Volume:47
Page:1-19
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ISSN:1026-597X
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Container-title:Austrian Journal of Statistics
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language:
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Short-container-title:AJS
Author:
Da Silva Wesley Bertoli,Ribeiro Angélica Maria Tortola,Conceição Katiane Silva,Andrade Marinho Gomes,Neto Francisco Louzada
Abstract
In this paper we propose the zero-modified Poisson-Sujatha distribution as an alternative to model overdispersed count data exhibiting inflation or deflation of zeros. It will be shown that the zero modification can be incorporated by using the zero-truncated Poisson-Sujatha distribution. A simple reparametrization of the probability function will allow us to represent the zero-modified Poisson-Sujatha distribution as a hurdle model. This trick leads to the fact that proposed model can be fitted without any previously information about the zero modification present in a given dataset. The maximum likelihood theory will be used for parameter estimation and asymptotic inference concerns. A simulation study will be conducted in order to evaluate some frequentist properties of the developed methodology. The usefulness of the proposed model will be illustrated using real datasets of the biological sciences field and comparing it with other models available in the literature.
Publisher
Austrian Statistical Society
Subject
Applied Mathematics,Statistics, Probability and Uncertainty,Statistics and Probability
Cited by
4 articles.
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