A note on the weighting-type estimations of the zero-inflated Poisson regression model with missing data in covariates

Martin T. Lukusa; Frederick Kin Hing Phoa

doi:10.1016/j.spl.2019.108654

A note on the weighting-type estimations of the zero-inflated Poisson regression model with missing data in covariates

Martin T. Lukusa, Frederick Kin Hing Phoa

Department of Statistics

Research output: Contribution to journal › Article

Abstract

A two-step weighting type method is proposed when some covariates in the zero-inflated Poisson model are missing at random. Semiparametric estimator and parametric estimator weighting-types are proposed accordingly. Their limit behaviors are studied theoretically and numerically.

Original language	English
Article number	108654
Journal	Statistics and Probability Letters
Volume	158
DOIs	https://doi.org/10.1016/j.spl.2019.108654
Publication status	Published - 2020 Mar

All Science Journal Classification (ASJC) codes

Statistics and Probability
Statistics, Probability and Uncertainty

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Lukusa, M. T., & Phoa, F. K. H. (2020). A note on the weighting-type estimations of the zero-inflated Poisson regression model with missing data in covariates. Statistics and Probability Letters, 158, [108654]. https://doi.org/10.1016/j.spl.2019.108654

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abstract = "A two-step weighting type method is proposed when some covariates in the zero-inflated Poisson model are missing at random. Semiparametric estimator and parametric estimator weighting-types are proposed accordingly. Their limit behaviors are studied theoretically and numerically.",

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