On empirical likelihood for linear models with missing responses
type: Item
instance of: scholarly article
title: On empirical likelihood for linear models with missing responses
zbMATH Open document ID: 1204.62119
published in: Journal of Statistical Planning and Inference
publication date: 2010-08-19T00:00:00Z
Mathematics Subject Classification ID: 62J05
Mathematics Subject Classification ID: 62E20
Mathematics Subject Classification ID: 62G08
Mathematics Subject Classification ID: 65C60
zbMATH DE Number: 5773118
zbMATH Keywords: linear model
zbMATH Keywords: empirical likelihood
zbMATH Keywords: missing at random
zbMATH Keywords: confidence interval
author: Yongsong Qin
author: Qingzhu Lei
MaRDI profile type: Publication
full work available at URL: j.jspi.2010.05.001
OpenAlex ID: W2018226282
cites work: Methodology and Algorithms of Empirical Likelihood
cites work: Q3816821
cites work: Empirical likelihood ratio confidence intervals for a single functional
cites work: Empirical likelihood ratio confidence regions
cites work: Empirical likelihood for linear models
cites work: Empirical likelihood
cites work: Confidence intervals for marginal parameters under fractional linear regression imputation for missing data
cites work: On the Strong Law of Large Numbers and Related Results for Quasi-Stationary Sequences
cites work: Empirical likelihood for linear regression models under imputation for missing responses
cites work: Empirical Likelihood-based Inference in Linear Models with Missing Data
cites work: Empirical likelihood-based inference under imputation for missing response data
cites work: Semiparametric Regression Analysis With Missing Response at Random
cites work: Empirical likelihood for linear models with missing responses
DOI: 10.1016/J.JSPI.2010.05.001
description: scientific article; zbMATH DE number 5773118