Statistical Inference for Zero-Inflated Poisson Regression Models with Excess Zeros

Lin Dai; Ying Zi Fu

doi:10.4028/www.scientific.net/AMM.367.253

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 367Statistical Inference for Zero-Inflated Poisson...

Statistical Inference for Zero-Inflated Poisson Regression Models with Excess Zeros

Abstract:

In this paper, we deal with a class of zero-inflated Poisson regression models and propose a score test procedure for assessing whether there exists zero-inflation or not. The sampling distribution and the power of the score test statistic are investigated by a limited simulation study. Furthermore, a Bayesian inference procedure is also presented for comparison. Finally, a data set of fire accident is used to illustrate our methodology and our numerical results show that our approach is useful and appealing for the analysis of count data with zero-inflation.

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Periodical:

Applied Mechanics and Materials (Volume 367)

Pages:

253-258

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.367.253

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Online since:

August 2013

Authors:

Lin Dai, Ying Zi Fu

Keywords:

Bayesian Analysis, Power, Score Test, Zero-Inflation

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References

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