Semiparametric estimation of a zero-inflated Poisson regression model with missing covariates

DOI10.1007/S00184-015-0563-7zbMath1349.62137OpenAlexW2226789464MaRDI QIDQ288108

T. Martin Lukusa, Chin-Shang Li, Shen-Ming Lee

Publication date: 24 May 2016

Published in: Metrika (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00184-015-0563-7

zbMATH Keywords

inverse probability weighting (IPW)missing at random (MAR)score function

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Nonparametric regression and quantile regression (62G08) Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05) Applications of statistics to social sciences (62P25) Sampling theory, sample surveys (62D05)

Related Items (9)

Validation likelihood estimation method for a zero-inflated Bernoulli regression model with missing covariates ⋮ Estimation in the zero-inflated bivariate Poisson model, with an application to health-care utilization data ⋮ Improvements of the Newton-Raphson method ⋮ Estimation of logistic regression with covariates missing separately or simultaneously via multiple imputation methods ⋮ Statistical inference in marginalized zero-inflated Poisson regression models with missing data in covariates ⋮ Estimation in zero-inflated binomial regression with missing covariates ⋮ A note on the weighting-type estimations of the zero-inflated Poisson regression model with missing data in covariates ⋮ On histogram-based regression and classification with incomplete data ⋮ Estimation of a zero-inflated Poisson regression model with missing covariates via nonparametric multiple imputation methods

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