Nonparametric regression for Zero-Inflated Poisson model

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  The Zero-inflated Poisson model is used to fit the counting data that contain excess zeros.This article mainly discusses the situation that the mean parameter of Poisson distribution is assumed to be a smoothing function.Local polynomial regression method is applied to fit the mean function.Numerical simulations are adopted to illustrate the performance of the method.Finally,real data analysis is discussed via this method.
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