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• W2183241504 abstract "The generalized Poisson regression model has been used to model dispersed count data. It is a good competitor to the negative binomial regression model when the count data is over-dispersed. Zero-inflated Poisson and zero-inflated negative binomial regression models have been proposed for the situations where the data generating process results into too many zeros. In this paper, we propose a zero-inflated generalized Poisson (ZIGP) regression model to model domestic violence data with too many zeros. Estimation of the model parameters using the method of maximum likelihood is provided. A score test is presented to test whether the number of zeros is too large for the generalized Poisson model to adequately fit the domestic violence data" @default.
• W2183241504 created "2016-06-24" @default.
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• W2183241504 date "2021-07-13" @default.
• W2183241504 modified "2023-10-16" @default.
• W2183241504 title "Zero-Inflated Generalized Poisson Regression Model with an Application to Domestic Violence Data" @default.
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• W2183241504 doi "https://doi.org/10.6339/jds.2006.04(1).257" @default.
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