Logarithmic calibration for multiplicative distortion measurement errors regression models
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Publication:6067700
DOI10.1111/stan.12204OpenAlexW3015112821MaRDI QIDQ6067700
Gao Rong Li, Jun Zhang, Yi Ping Yang
Publication date: 14 December 2023
Published in: Statistica Neerlandica (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1111/stan.12204
Related Items
General least product relative error estimation for multiplicative regression models with or without multiplicative distortion measurement errors ⋮ Measurement errors models with exponential parametric multiplicative distortions ⋮ Estimation of correlation coefficient with general distortion measurement errors ⋮ Kernel density estimation for multiplicative distortion measurement regression models ⋮ Absolute logarithmic calibration for correlation coefficient with multiplicative distortion ⋮ Nonlinear multiplicative distortion regression models with second-order estimation ⋮ Logarithmic calibration for nonparametric multiplicative distortion measurement errors models
Cites Work
- Unnamed Item
- Statistical inference on restricted linear regression models with partial distortion measurement errors
- Nonparametric covariate-adjusted regression
- Empirical likelihood confidence intervals for nonparametric functional data analysis
- A nonparametric test for covariate-adjusted models
- Empirical likelihood for a varying coefficient partially linear model with diverging number of parameters
- Partial covariate adjusted regression
- Estimation in covariate-adjusted regression
- Asymptotic theory of nonlinear least squares estimation
- Empirical likelihood for linear models
- Estimation in a semiparametric partially linear errors-in-variables model
- Empirical likelihood inference in linear regression with nonignorable missing response
- Checking the adequacy for a distortion errors-in-variables parametric regression model
- An adaptive estimation for covariate-adjusted nonparametric regression model
- Estimation and variable selection for partial linear single-index distortion measurement errors models
- Partial linear models with general distortion measurement errors
- Covariate-adjusted nonlinear regression
- Inference for covariate adjusted regression via varying coefficient models
- Estimating the Conditional Error Distribution in Non-parametric Regression
- Approximation Theorems of Mathematical Statistics
- 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
- Weak and strong uniform consistency of kernel regression estimates
- Quantile regression estimation for distortion measurement error data
- Testing symmetry based on empirical likelihood
- Nonlinear regression models with general distortion measurement errors
- Covariate Adjusted Correlation Analysis via Varying Coefficient Models
