Abstract
Count data with excess zeros encountered in many applications often exhibit extra variation. Therefore, zero-inflated Poisson (ZIP) model may fail to fit such data. In this paper, a zero-inflated double Poisson model (ZIDP), which is generalization of the ZIP model, is studied and the score tests for the significance of dispersion and zero-inflation in ZIDP model are developed. Meanwhile, this work also develops homogeneous tests for dispersion and/or zero-inflation parameter, and corresponding score test statistics are obtained. One numerical example is given to illustrate our methodology and the properties of score test statistics are investigated through Monte Carlo simulations.
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We would like to thank Editor, Associate Editor and referees for their helpful comments and suggestions that led to a significant improvement of the paper.
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Supported in part by the National Natural Science Foundation of China under Grant No. 11271193 and 11571073, and the Natural Science Foundation of Jiangsu Province under Grant No. BK20141326.
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Xie, Fc., Lin, Jg. & Wei, Bc. Score tests for zero-inflated double poisson regression models. Acta Math. Appl. Sin. Engl. Ser. 33, 851–864 (2017). https://doi.org/10.1007/s10255-017-0702-1
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DOI: https://doi.org/10.1007/s10255-017-0702-1