Modal linear regression models with additive distortion measurement errors
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Publication:3390590
DOI10.1080/00949655.2021.1979000OpenAlexW3201401391MaRDI QIDQ3390590
Publication date: 24 March 2022
Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00949655.2021.1979000
kernel smoothingexponential transformationadditive distortion measurement errorsconditional mean calibration
Nonparametric regression and quantile regression (62G08) Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05) Statistics (62-XX)
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Cites Work
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- Nonparametric modal regression in the presence of measurement error
- Nonparametric modal regression
- Nonparametric covariate-adjusted regression
- Regression towards the mode
- A profile-type smoothed score function for a varying coefficient partially linear model
- SIMEX estimation in parametric modal regression with measurement error
- Estimation and hypothesis test on partial linear models with additive distortion measurement errors
- Nonlinear measurement errors models subject to partial linear additive distortion
- Statistical inference for linear regression models with additive distortion measurement errors
- Kernel density estimation for partial linear multivariate responses models
- Estimation and variable selection for partial linear single-index distortion measurement errors models
- Partial linear models with general distortion measurement errors
- Kernel density regression
- SIMEX estimation for single-index model with covariate measurement error
- A goodness-of-fit test for variable-adjusted models
- Inference for covariate adjusted regression via varying coefficient models
- A New Regression Model: Modal Linear Regression
- Non linear parametric mode regression
- Local modal regression
- Approximation Theorems of Mathematical Statistics
- Weak and strong uniform consistency of kernel regression estimates
- Partial linear single-index models with additive distortion measurement errors
- A heteroscedastic measurement error model based on skew and heavy-tailed distributions with known error variances
- Dimension reduction regressions with measurement errors subject to additive distortion
- A Statistical Learning Approach to Modal Regression
- Correlation analysis with additive distortion measurement errors
- Nonlinear regression models with general distortion measurement errors
- Covariate Adjusted Correlation Analysis via Varying Coefficient Models
- Measurement Error in Nonlinear Models
- Modal non‐linear regression in the presence of Laplace measurement error
- Kernel density estimation for multiplicative distortion measurement regression models
