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

Research output: Contribution to journalArticle

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 languageEnglish
Article number108654
JournalStatistics and Probability Letters
Volume158
DOIs
Publication statusPublished - 2020 Mar

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Statistics, Probability and Uncertainty

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