Handling estimating equation with nonignorably missing data based on SIR algorithm

DOI10.1016/j.cam.2017.05.016zbMath1422.62060OpenAlexW2619575052MaRDI QIDQ2012587

Lu Lin, Xiuli Wang, Yunquan Song

Publication date: 1 August 2017

Published in: Journal of Computational and Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cam.2017.05.016

zbMATH Keywords

kernel smoothingMonte Carlo simulationnonlinearestimating equationsampling importance resampling algorithmnonignorably missing data

Mathematics Subject Classification ID

Point estimation (62F10) Generalized linear models (logistic models) (62J12) Sampling theory, sample surveys (62D05) Nonlinear systems in control theory (93C10)

Related Items (3)

Optimal reinsurance for both an insurer and a reinsurer under general premium principles ⋮ Empirical likelihood for varying coefficient partially nonlinear model with missing responses ⋮ Pareto-optimal reinsurance revisited: a two-stage optimisation procedure approach

Cites Work

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• Estimating Equations with Nonignorably Missing Response Data
• A Semiparametric Estimation of Mean Functionals With Nonignorable Missing Data
• Empirical likelihood for estimating equations with nonignorably missing data

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