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

DOI10.1016/J.SPL.2019.108654zbMath1459.62051OpenAlexW2980592228WikidataQ127013028 ScholiaQ127013028MaRDI QIDQ2288802

Martin T. Lukusa, Frederick Kin Hing Phoa

Publication date: 20 January 2020

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.spl.2019.108654

zbMATH Keywords

missing at randomzero-inflationlarge samplenuisance functionweighting estimators

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Asymptotic properties of nonparametric inference (62G20) Missing data (62D10)

Cites Work

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• Likelihood Ratio Tests for Model Selection and Non-Nested Hypotheses
• Semiparametric estimation of a zero-inflated Poisson regression model with missing covariates
• Model selection for zero-inflated regression with missing covariates
• A note on kernel assisted estimators in missing covariate regression
• Zero-Inflated Poisson Regression, with an Application to Defects in Manufacturing
• Inference and missing data

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