A semiparametric inference to regression analysis with missing covariates in survey data

DOI10.5705/SS.2014.174zbMath1468.62276OpenAlexW2572898634WikidataQ57428992 ScholiaQ57428992MaRDI QIDQ2960515

Shu Yang, Jae Kwang Kim

Publication date: 17 February 2017

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

Full work available at URL: https://lib.dr.iastate.edu/cgi/viewcontent.cgi?article=1101&context=stat_las_pubs

zbMATH Keywords

nonparametric maximum likelihood estimatornonresponsefractional imputationasymptotic linearization representation

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Applications of statistics in engineering and industry; control charts (62P30) Missing data (62D10)

Related Items (2)

Estimation for nonignorable missing response or covariate using semi-parametric quantile regression imputation and a parametric response probability model ⋮ Maximum likelihood estimation of missing data probability for nonmonotone missing at random data

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