Uniform improvement of empirical likelihood for missing response problem
type: Item
instance of: scholarly article
title: Uniform improvement of empirical likelihood for missing response problem
zbMATH Open document ID: 1334.62033
DOI: 10.1214/12-EJS673
author: Kwun Chuen Gary Chan
published in: Electronic Journal of Statistics
publication date: 2013-05-28T00:00:00Z
full work available at URL: https://projecteuclid.org/euclid.ejs/1330524561
Mathematics Subject Classification ID: 62G05
Mathematics Subject Classification ID: 62E20
Mathematics Subject Classification ID: 62G20
Mathematics Subject Classification ID: 62G35
zbMATH DE Number: 6166958
zbMATH Keywords: auxiliary information
zbMATH Keywords: double robustness
zbMATH Keywords: empirical likelihood
zbMATH Keywords: missing data
zbMATH Keywords: survey calibration
MaRDI profile type: Publication
cites work: Using empirical likelihood methods to obtain range restricted weights in regression estimators for surveys
cites work: Calibration Estimators in Survey Sampling
cites work: The large sample behaviour of the generalized method of moments estimator in misspecified models
cites work: Demystifying double robustness: a comparison of alternative strategies for estimating a population mean from incomplete data
cites work: Empirical likelihood and general estimating equations
cites work: Empirical Likelihood in Missing Data Problems
cites work: Estimation of Regression Coefficients When Some Regressors Are Not Always Observed
cites work: Empirical likelihood for estimating equations with missing values
cites work: Empirical likelihood-based inference under imputation for missing response data
cites work: Maximum Likelihood Estimation of Misspecified Models
description: scientific article; zbMATH DE number 6166958