Estimation and variable selection for partial linear single-index distortion measurement errors models

DOI10.1007/s00362-019-01119-6zbMath1477.62105OpenAlexW2954732189MaRDI QIDQ2066529

Jun Zhang

Publication date: 14 January 2022

Published in: Statistical Papers (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00362-019-01119-6

zbMATH Keywords

calibrationlocal linear smoothingmultiplicative distortion measurement errorsprofile least squared estimator

Mathematics Subject Classification ID

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

Related Items (13)

Logarithmic calibration for partial linear models with multiplicative distortion measurement errors ⋮ Additive distortion measurement errors regression models with exponential calibration ⋮ 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 ⋮ Logarithmic calibration for multiplicative distortion measurement errors regression models ⋮ High-dimensional local polynomial regression with variable selection and dimension reduction ⋮ Kernel density estimation for multiplicative distortion measurement regression models ⋮ Nonlinear multiplicative distortion regression models with second-order estimation ⋮ Partial linear models with general distortion measurement errors ⋮ Logarithmic calibration for nonparametric multiplicative distortion measurement errors models ⋮ Modal linear regression models with additive distortion measurement errors ⋮ Detection of the symmetry of model errors for partial linear single-index models ⋮ Statistical estimation for single-index varying-coefficient models with multiplicative distortion measurement errors

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