Nonlinear regression models with general distortion measurement errors

DOI10.1080/00949655.2019.1586904OpenAlexW2920899562WikidataQ128302798 ScholiaQ128302798MaRDI QIDQ5107404

Bingqing Lin, Jun Zhang, Gao Rong Li

Publication date: 27 April 2020

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2019.1586904

zbMATH Keywords

model checkinglocal linear smoothingrestricted estimatormultiplicative and additive distortion measurement errors

Mathematics Subject Classification ID

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

Related Items (18)

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 ⋮ Linear regression models with general distortion measurement errors ⋮ Testing symmetry for additive distortion measurement errors data ⋮ Nonlinear regression models with profile nonlinear least squares estimation ⋮ Correlation coefficient-based measure for checking symmetry or asymmetry of a continuous variable with additive distortion ⋮ Partial index additive models with additive distortion measurement errors ⋮ Measurement errors models with exponential parametric multiplicative distortions ⋮ Logarithmic calibration for multiplicative distortion measurement errors regression models ⋮ Partial linear additive distortion measurement errors models ⋮ Estimation of correlation coefficient with general distortion measurement errors ⋮ Multiplicative distortion measurement errors linear models with general moment identifiability condition ⋮ 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 ⋮ Modal linear regression models with additive distortion measurement errors ⋮ Calibration procedures for linear regression models with multiplicative distortion measurement errors

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