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Tests for zero inflation in a bivariate zero‐inflated Poisson model
Authors:JungBok Lee  Byoung Cheol Jung  Seo Hoon Jin
Institution:1. Institute of Human Genomic Study, College of Medicine, Korea University, 516 Gojan 1‐dong, Danwon‐gu, Ansan, Kyunggi‐do 425‐707, Korea;2. Department of Statistics, University of Seoul, 90 Junnong‐dong, Dongdaemun‐gu, Seoul 130‐743, Korea;3. Department of Informational Statistics, Korea University, 208 Seochang‐ri, Jochiwon‐up, Younki‐gun, Chungnam 339‐700, Korea
Abstract:The score test statistics for testing zero inflation and covariance parameter are proposed in the bivariate zero‐inflated Poisson (BZIP) regression model. The Monte Carlo studies show that the score test and likelihood ratio test for testing zero inflation underestimate the nominal significance level, while the score test for covariance parameter keeps the significance level close to the nominal one. To overcome this nominal level underestimation, we propose a bootstrap method of the score test for the testing problem of zero inflation. An empirical example with covariates is provided to illustrate the results. In addition, score test for zero inflation is also proposed in the BZIP model, which allows a flexible dependence structure using copula.
Keywords:bivariate zero‐inflated Poisson  score test  independence  bootstrap
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