Smoothed empirical likelihood for quantile regression models with response data missing at random
type: Item
instance of: scholarly article
title: Smoothed empirical likelihood for quantile regression models with response data missing at random
zbMATH Open document ID: 1443.62102
author: Shuanghua Luo
author: Chang-Lin Mei
author: Cheng-yi Zhang
published in: AStA. Advances in Statistical Analysis
publication date: 2018-11-12T00:00:00Z
Mathematics Subject Classification ID: 62G08
Mathematics Subject Classification ID: 62G05
Mathematics Subject Classification ID: 62G20
Mathematics Subject Classification ID: 62G15
Mathematics Subject Classification ID: 62E20
zbMATH DE Number: 6976400
zbMATH Keywords: quantile regression
zbMATH Keywords: smoothed empirical likelihood
zbMATH Keywords: missing at random
zbMATH Keywords: confidence interval
MaRDI profile type: Publication
full work available at URL: s10182-016-0278-8
OpenAlex ID: W2508733084
cites work: Local multiple imputation
cites work: Semiparametric quantile regression estimation in dynamic models with partially varying coefficients
cites work: Nonparametric Quantile Estimations for Dynamic Smooth Coefficient Models
cites work: Smoothed empirical likelihood confidence intervals for quantiles
cites work: Efficient Quantile Regression Analysis With Missing Observations
cites work: Nonparametric Estimation of Mean Functionals with Data Missing at Random
cites work: A Generalization of Sampling Without Replacement From a Finite Universe
cites work: Imputation methods for quantile estimation under missing at random
cites work: Q3413299
cites work: Regression Quantiles
cites work: A Semiparametric Method of Multiple Imputation
cites work: Q3816821
cites work: Smoothed empirical likelihood analysis of partially linear quantile regression models with missing response variables
cites work: Smoothed empirical likelihood confidence intervals for quantile regression parameters with auxiliary information
cites work: Conditional empirical likelihood estimation and inference for quantile regression models
cites work: Empirical likelihood ratio confidence intervals for a single functional
cites work: Empirical likelihood ratio confidence regions
cites work: Empirical likelihood and general estimating equations
cites work: On Variance Estimation With Imputed Survey Data
cites work: Estimation of Regression Coefficients When Some Regressors Are Not Always Observed
cites work: Analysis of Semiparametric Regression Models for Repeated Outcomes in the Presence of Missing Data
cites work: Q4654005
cites work: Quantile regression for competing risks data with missing cause of failure
cites work: An efficient empirical likelihood approach for estimating equations with missing data
cites work: Linear mixed models for longitudinal data
cites work: Weighted Semiparametric Estimation in Regression Analysis With Missing Covariate Data
cites work: Semiparametric Regression Analysis With Missing Response at Random
cites work: Quantile regression without the curse of unsmoothness
cites work: Empirical likelihood for linear regression models under imputation for missing responses
cites work: Empirical likelihood-based inference under imputation for missing response data
cites work: Estimation in partially linear models with missing responses at random
cites work: Empirical likelihood for quantile regression models with longitudinal data
cites work: Multiple imputation in quantile regression
cites work: SMOOTHED EMPIRICAL LIKELIHOOD METHODS FOR QUANTILE REGRESSION MODELS
cites work: On locally weighted estimation and hypothesis testing of varying-coefficient models with missing covariates
cites work: Empirical Likelihood Confidence Intervals for Response Mean with Data Missing at Random
cites work: Empirical likelihood for linear models with missing responses
cites work: Empirical likelihood inference for censored median regression model via nonparametric kernel estimation
DOI: 10.1007/S10182-016-0278-8
description: scientific article; zbMATH DE number 6976400