Empirical likelihood-based inference in nonlinear regression models with missing responses at random

DOI10.1080/02331888.2012.658807zbMath1440.62262OpenAlexW2163873505WikidataQ57535703 ScholiaQ57535703MaRDI QIDQ2863097

Pu-Ying Zhao, Nian Sheng Tang

Publication date: 21 November 2013

Published in: Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02331888.2012.658807

zbMATH Keywords

confidence regionmissing at randomempirical likelihoodnonlinear regression modelsregression imputation

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Asymptotic distribution theory in statistics (62E20) Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05) Nonparametric tolerance and confidence regions (62G15) General nonlinear regression (62J02)

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Statistical inference for nonignorable missing-data problems: a selective review ⋮ Empirical likelihood inference in linear regression with nonignorable missing response ⋮ Estimation for a hybrid model of functional and linear measurement errors regression with missing response ⋮ A revisit to correlation analysis for distortion measurement error data ⋮ Robust inference for estimating equations with nonignorably missing data based on SIR algorithm ⋮ Nonlinear measurement errors models subject to partial linear additive distortion ⋮ Quantile regression in longitudinal studies with dropouts and measurement errors ⋮ Empirical likelihood inference in general linear model with missing values in response and covariates by MNAR mechanism ⋮ Jackknifing for partially linear varying-coefficient errors-in-variables model with missing response at random

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