Imputation-based empirical likelihood inferences for partially nonlinear quantile regression models with missing responses
type: Item
instance of: scholarly article
title: Imputation-based empirical likelihood inferences for partially nonlinear quantile regression models with missing responses
zbMATH Open document ID: 1502.62050
author: Xiaoshuang Zhou
author: Yujie Gai
author: Pei Xin Zhao
published in: AStA. Advances in Statistical Analysis
publication date: 2022-12-19T00:00:00Z
Mathematics Subject Classification ID: 62G08
Mathematics Subject Classification ID: 62G05
Mathematics Subject Classification ID: 62G20
zbMATH DE Number: 7633992
zbMATH Keywords: partially nonlinear model
zbMATH Keywords: quantile regression
zbMATH Keywords: empirical likelihood
zbMATH Keywords: missing at random
MaRDI profile type: Publication
full work available at URL: s10182-022-00441-z
OpenAlex ID: W4226190359
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DOI: 10.1007/S10182-022-00441-Z
description: scientific article; zbMATH DE number 7633992