Statistical inference for a varying-coefficient partially nonlinear model with measurement errors

DOI10.1016/j.stamet.2016.05.004zbMath1487.62037OpenAlexW2395341615MaRDI QIDQ670134

Yunyun Qian, Zhen-Sheng Huang

Publication date: 18 March 2019

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

Full work available at URL: https://doi.org/10.1016/j.stamet.2016.05.004

zbMATH Keywords

bootstrap methodgeneralized likelihood ratio testmeasure errorprofile least-square methodsvarying-coefficient nonlinear model

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Nonparametric hypothesis testing (62G10) Estimation in multivariate analysis (62H12) Asymptotic distribution theory in statistics (62E20) Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05)

Related Items (7)

Empirical likelihood for varying coefficient partially nonlinear model with missing responses ⋮ Adjusted empirical likelihood inferences for varying coefficient partially non linear models with endogenous covariates ⋮ Statistical inferences for varying coefficient partially non linear model with missing covariates ⋮ Nonparametric inference for covariate-adjusted model ⋮ Estimation for varying coefficient partially nonlinear models with distorted measurement errors ⋮ Quantile regression for robust inference on varying coefficient partially nonlinear models ⋮ Estimation for partially varying-coefficient single-index models with distorted measurement errors

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