EMPIRICAL LIKELIHOOD METHODS FOR COMPLEX SURVEYS WITH DATA MISSING-BY-DESIGN

DOI10.5705/SS.202016.0291zbMath1406.62012OpenAlexW2735956400MaRDI QIDQ4558456

Mary E. Thompson, Changbao Wu, Min Chen

Publication date: 22 November 2018

Published in: Statistica Sinica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.5705/ss.202016.0291

zbMATH Keywords

confidence intervalempirical likelihoodauxiliary informationcomplex surveypropensity scorestreatment and controlmissing-by-designpretest-posttest study

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Sampling theory, sample surveys (62D05) Nonparametric tolerance and confidence regions (62G15) Response surface designs (62K20)

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