Asymptotic Results In Censored Zero-Inflated Poisson Regression

COMMUNICATIONS IN STATISTICS-THEORY AND METHODS（2021）

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摘要

This paper investigates properties of the maximum-likelihood estimator (MLE) in the zero-inflated Poisson regression model with randomly right-censored counts. Consistency and asymptotic normality of the MLE are rigorously established. A thorough simulation study is conducted to assess the finite-sample behavior of the MLE.

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关键词

Count data, excess of zeros, large-sample properties, simulations

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