Estimation for varying coefficient partially nonlinear models with distorted measurement errors

DOI10.1016/j.jkss.2018.09.001zbMath1411.62097OpenAlexW2897396977WikidataQ129099512 ScholiaQ129099512MaRDI QIDQ1726169

Shuang Dai, Zhen-Sheng Huang

Publication date: 19 February 2019

Published in: Journal of the Korean Statistical Society (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jkss.2018.09.001

zbMATH Keywords

measurement errornonparametric regressiondistortion functionvarying coefficient partially nonlinear modelprofile nonlinear least-square method

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) General nonlinear regression (62J02)

Related Items (6)

Adjusted empirical likelihood inferences for varying coefficient partially non linear models with endogenous covariates ⋮ Orthogonality-based empirical likelihood inference for varying-coefficient partially nonlinear model with longitudinal data ⋮ Estimation for partially varying-coefficient single-index models with distorted measurement errors ⋮ Robust estimation and variable selection for varying-coefficient partially nonlinear models based on modal regression ⋮ Estimation and inferences for varying coefficient partially nonlinear quantile models with censoring indicators missing at random ⋮ Statistical estimation for single-index varying-coefficient models with multiplicative distortion measurement errors

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