Statistical Inference for Partially Linear Varying Coefficient Quantile Models with Missing Responses

Statistical Inference for Partially Linear Varying Coefficient Quantile Models with Missing Responses

The construction of confidence intervals is investigated for the partially linear varying coefficient quantile model with missing random responses. Combined with quantile regression, an imputation-based empirical likelihood method is proposed to construct confidence intervals for parametric and vary...

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Bibliographic Details
Main Authors: Yuxin Yan, Shuanghua Luo, Cheng-yi Zhang
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Symmetry
Subjects:
quantile regression
partially linear varying coefficient model
empirical likelihood
confidence interval
missing response
Online Access:https://www.mdpi.com/2073-8994/14/11/2258

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