A nonparametric test for covariate-adjusted models
From MaRDI portal
Publication:680479
DOI10.1016/j.spl.2017.10.004zbMath1439.62113OpenAlexW2766509234MaRDI QIDQ680479
Publication date: 23 January 2018
Published in: Statistics \& Probability Letters (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.spl.2017.10.004
Nonparametric hypothesis testing (62G10) Asymptotic distribution theory in statistics (62E20) Asymptotic properties of nonparametric inference (62G20)
Related Items (27)
Additive distortion measurement errors regression models with exponential calibration ⋮ Linear regression models with general distortion measurement errors ⋮ Testing symmetry for additive distortion measurement errors data ⋮ Nonparametric inference for covariate-adjusted model ⋮ Efficient Diagnostics for Parametric Regression Models with Distortion Measurement Errors Incorporating Dimension-reduction ⋮ A goodness-of-fit test for variable-adjusted models ⋮ Logarithmic calibration for multiplicative distortion measurement errors regression models ⋮ Nonlinear regression models with general distortion measurement errors ⋮ Multiplicative distortion measurement errors linear models with general moment identifiability condition ⋮ Case-cohort and inference for the proportional hazards model with covariate adjustment ⋮ 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 ⋮ Multiplicative regression models with distortion measurement errors ⋮ Unnamed Item ⋮ Regression analysis for outcome-dependent sampling design under the covariate-adjusted additive hazards model ⋮ Conditional absolute mean calibration for partial linear multiplicative distortion measurement errors models ⋮ Correlation curve estimation for multiplicative distortion measurement errors data ⋮ Statistical inference for linear regression models with additive distortion measurement errors ⋮ Outlier detection under a covariate-adjusted exponential regression model with censored data ⋮ Partial linear models with general distortion measurement errors ⋮ Dimension reduction regressions with measurement errors subject to additive distortion ⋮ Logarithmic calibration for nonparametric multiplicative distortion measurement errors models ⋮ Estimation and variable selection for partial linear single-index distortion measurement errors models ⋮ Calibration procedures for linear regression models with multiplicative distortion measurement errors ⋮ Measuring symmetry and asymmetry of multiplicative distortion measurement errors data ⋮ Statistical estimation for single-index varying-coefficient models with multiplicative distortion measurement errors
Cites Work
- A consistent test of functional form via nonparametric estimation techniques
- Nonparametric covariate-adjusted regression
- A revisit to correlation analysis for distortion measurement error data
- Nonlinear models with measurement errors subject to single-indexed distortion
- Asymptotic properties of covariate-adjusted regression with correlated errors
- Minimum distance regression model checking
- 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
- Asymptotics for kernel estimate of sliced inverse regression
- Partial linear single index models with distortion measurement errors
- Covariate-adjusted nonlinear regression
- Inference for covariate adjusted regression via varying coefficient models
- Covariate-adjusted varying coefficient models
- Covariate-adjusted linear mixed effects model with an application to longitudinal data
- Multicovariate-adjusted regression models
- Covariate-Adjusted Partially Linear Regression Models
- Covariate-adjusted generalized linear models
- Covariate-adjusted regression
This page was built for publication: A nonparametric test for covariate-adjusted models