Nonlinear measurement errors models subject to partial linear additive distortion

DOI10.1214/16-BJPS333zbMath1404.62042OpenAlexW2789665435MaRDI QIDQ1994028

Jun Zhang, Tianyue Chu, Nanguang Zhou, Qi'an Chen

Publication date: 6 November 2018

Published in: Brazilian Journal of Probability and Statistics (Search for Journal in Brave)

Full work available at URL: https://projecteuclid.org/euclid.bjps/1520046136

zbMATH Keywords

bootstrap approximationempirical processmodel checkingempirical likelihoodregression splinecovariate-adjusted regressiondistorting functionmeasurement errors modelsconfounding variablesmultiplicative effect

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Nonparametric hypothesis testing (62G10) Asymptotic properties of nonparametric inference (62G20) Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05) Nonparametric tolerance and confidence regions (62G15) General nonlinear regression (62J02)

Related Items

General least product relative error estimation for multiplicative regression models with or without multiplicative distortion measurement errors, Nonlinear regression models with profile nonlinear least squares estimation, Detection the symmetry or asymmetry of model errors in partial linear models, Measurement errors models with exponential parametric multiplicative distortions, Absolute logarithmic calibration for correlation coefficient with multiplicative distortion, Estimation in partially linear varying-coefficient errors-in-variables models with missing response variables, Modal linear regression models with additive distortion measurement errors

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• A CONSISTENT DIAGNOSTIC TEST FOR REGRESSION MODELS USING PROJECTIONS
• Nonparametric covariate-adjusted regression
• Empirical likelihood semiparametric nonlinear regression analysis for longitudinal data with responses missing at random
• A revisit to correlation analysis for distortion measurement error data
• Empirical likelihood confidence intervals for nonparametric functional data analysis
• Empirical likelihood inference for partially linear panel data models with fixed effects
• Empirical likelihood based inference for additive partial linear measurement error models
• Nonlinear models with measurement errors subject to single-indexed distortion
• Empirical likelihood inference for semi-parametric varying-coefficient partially linear EV models
• The EFM approach for single-index models
• Estimation and variable selection for generalized additive partial linear models
• Empirical likelihood for a varying coefficient partially linear model with diverging number of parameters
• Partial covariate adjusted regression
• Additive regression and other nonparametric models
• Comparing nonparametric versus parametric regression fits
• Empirical likelihood and general estimating equations
• Fitting a bivariate additive model by local polynomial regression
• Nonparametric smoothing and lack-of-fit tests
• Local asymptotics for polynomial spline regression
• Efficient estimation of the partly linear additive Cox model
• Estimation in linear regression models with measurement errors subject to single-indexed distortion
• Checking the adequacy for a distortion errors-in-variables parametric regression model
• Model checks for regression: an innovation process approach
• Jackknife, bootstrap and other resampling methods in regression analysis
• Partial linear single index models with distortion measurement errors
• Bias-corrected empirical likelihood in a multi-link semiparametric model
• Variable selection for covariate adjusted regression model
• Bootstrap and wild bootstrap for high dimensional linear models
• Covariate-adjusted nonlinear regression
• Focused information criterion and model averaging for generalized additive partial linear models
• Nonlinear measurement error models subject to additive distortion
• Inference for covariate adjusted regression via varying coefficient models
• Empirical likelihood-based inference in nonlinear regression models with missing responses at random
• Determination of linear components in additive models
• Additive partial linear models with measurement errors
• Testing the Goodness of Fit of a Linear Model Via Nonparametric Regression Techniques
• Multicovariate-adjusted regression models
• Empirical Likelihood‐Based Inferences for Generalized Partially Linear Models
• Covariate-Adjusted Partially Linear Regression Models
• On the asymptotics of penalized splines
• Covariate-adjusted generalized linear models
• Bootstrap Approximations in Model Checks for Regression
• Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
• Variable Selection for Partially Linear Models With Measurement Errors
• Covariate-adjusted regression
• Measurement Error in Nonlinear Models
• Estimation and variable selection for semiparametric additive partial linear models
• A practical guide to splines.