Multiplicative distortion measurement errors linear models with general moment identifiability condition

DOI10.1080/00949655.2019.1678624OpenAlexW2979753933WikidataQ127076425 ScholiaQ127076425MaRDI QIDQ5107709

Jun Zhang, Yujie Gai, Wang-li Xu

Publication date: 28 April 2020

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2019.1678624

zbMATH Keywords

confidence intervalscalibrationlocal linear smoothingmultiplicative distortion measurement errorsleast squared estimator

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05)

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Correlation coefficient-based measure for checking symmetry or asymmetry of a continuous variable with additive distortion

Cites Work

• Unnamed Item
• Nonparametric covariate-adjusted regression
• Empirical likelihood confidence intervals for nonparametric functional data analysis
• A profile-type smoothed score function for a varying coefficient partially linear model
• A nonparametric test for covariate-adjusted models
• Empirical likelihood estimators for the error distribution in nonparametric regression models
• Profile likelihood inferences on semiparametric varying-coefficient partially linear models
• Corrected empirical likelihood for a class of generalized linear measurement error models
• Partial covariate adjusted regression
• Estimation in covariate-adjusted regression
• Variance estimation for semiparametric regression models by local averaging
• Locally efficient estimation in generalized partially linear model with measurement error in nonlinear function
• SIMEX estimation for single-index model with covariate measurement error
• Covariate-adjusted nonlinear regression
• A goodness-of-fit test for variable-adjusted models
• Empirical likelihood of varying coefficient errors-in-variables models with longitudinal data
• Variable selection in semiparametric regression modeling
• Inference for covariate adjusted regression via varying coefficient models
• Estimating the Conditional Error Distribution in Non-parametric Regression
• Covariate-adjusted linear mixed effects model with an application to longitudinal data
• Multicovariate-adjusted regression models
• Empirical Likelihood‐Based Inferences for Generalized Partially Linear Models
• Covariate-Adjusted Partially Linear Regression Models
• A heteroscedastic measurement error model based on skew and heavy-tailed distributions with known error variances
• Nonlinear regression models with general distortion measurement errors
• Lasso-type estimation for covariate-adjusted linear model
• Empirical likelihood for single index model with missing covariates at random
• Empirical likelihood confidence regions in the single-index model with growing dimensions
• Covariate Adjusted Correlation Analysis via Varying Coefficient Models
• Correlation curve estimation for multiplicative distortion measurement errors data