Jackknife empirical likelihood inference with regression imputation and survey data

DOI10.1016/j.jmva.2014.04.010zbMath1360.62148OpenAlexW2023140226MaRDI QIDQ2015066

Sixia Chen, Ping-Shou Zhong

Publication date: 18 June 2014

Published in: Journal of Multivariate Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jmva.2014.04.010

zbMATH Keywords

kernel smoothingmissing at randomWilks' theoremresponse mechanismnonignorable missing

Mathematics Subject Classification ID

Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05) Sampling theory, sample surveys (62D05) Nonparametric tolerance and confidence regions (62G15)

Related Items (9)

Empirical likelihood method for non-ignorable missing data problems ⋮ Jackknife empirical likelihood method for multiply robust estimation with missing data ⋮ Jackknife empirical likelihood inference for the mean absolute deviation ⋮ Jackknife empirical likelihood for the error variance in linear errors-in-variables models with missing data ⋮ Model checking for general linear regression with nonignorable missing response ⋮ Order-Restricted Inference for Means with Missing Values ⋮ Recent Developments in Dealing with Item Non‐response in Surveys: A Critical Review ⋮ Adjusted jackknife empirical likelihood for stationary ARMA and ARFIMA models ⋮ Jackknife empirical likelihood inference with regression imputation and survey data

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