On \(L^{\infty }\) convergence of Neumann series approximation in missing data problems

DOI10.1016/J.SPL.2010.01.021zbMath1186.62060OpenAlexW1556646216WikidataQ33552282 ScholiaQ33552282MaRDI QIDQ968475

Hua Yun Chen

Publication date: 5 May 2010

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

Full work available at URL: http://europepmc.org/articles/pmc2850222

zbMATH Keywords

rate of convergenceinductionauxiliary informationweighted estimating equation

Mathematics Subject Classification ID

Asymptotic properties of nonparametric inference (62G20) Nonparametric robustness (62G35) Statistical aspects of information-theoretic topics (62B10)

Cites Work

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• Unified methods for censored longitudinal data and causality
• Weak convergence and empirical processes. With applications to statistics
• Semiparametric theory and missing data.
• Inference and missing data
• Estimation of Regression Coefficients When Some Regressors Are Not Always Observed
• A Weighted Estimating Equation for Missing Covariate Data with Properties Similar to Maximum Likelihood

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