Jackknife empirical likelihood method for multiply robust estimation with missing data

DOI10.1016/j.csda.2018.05.011zbMath1469.62042OpenAlexW2807119393WikidataQ90569234 ScholiaQ90569234MaRDI QIDQ1663131

David Haziza, Sixia Chen

Publication date: 21 August 2018

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc6292709

zbMATH Keywords

imputationdouble robustnessnonresponse model

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05) Missing data (62D10)

Related Items

Multiply robust imputation procedures for zero-inflated distributions in surveys ⋮ Calibration Techniques Encompassing Survey Sampling, Missing Data Analysis and Causal Inference ⋮ Jackknife empirical likelihood for the mean of a zero-and-one inflated population ⋮ Two-sample nonparametric test for proportional reversed hazards

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