Statistical estimation in partially linear single-index models with error-prone linear covariates

DOI10.1080/10485252.2010.518705zbMath1327.62259OpenAlexW2087312824MaRDI QIDQ3021192

Zhen-Sheng Huang

Publication date: 22 July 2011

Published in: Journal of Nonparametric Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/10485252.2010.518705

zbMATH Keywords

asymptotic propertieserrors-in-variablespartially linear single-index modelslocal linear methodancillary variables

Mathematics Subject Classification ID

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

Related Items (5)

Testing structural change in partially linear single-index models with error-prone linear covariates ⋮ Adaptive testing for the partially linear single-index model with error-prone linear covariates ⋮ Statistical estimation for partially linear error-in-variable models with error-prone covariates ⋮ Empirical likelihood for partially linear single-index models under negatively associated errors ⋮ Robust estimation for partial linear single-index models

Cites Work

• Unnamed Item
• Single-index quantile regression
• Statistical inference for semiparametric varying-coefficient partially linear models with error-prone linear covariates
• Varying-coefficient single-index model
• Statistical inference on parametric part for partially linear single-index model
• Estimation in a semiparametric partially linear errors-in-variables model
• Optimal smoothing in single-index models
• Randomly censored partially linear single-index models
• Semi-parametric estimation of partially linear single-index models
• Empirical Likelihood Confidence Regions in a Partially Linear Single-Index Model
• Sliced Inverse Regression for Dimension Reduction
• Generalized Partially Linear Single-Index Models
• Penalized Spline Estimation for Partially Linear Single-Index Models
• Measurement Error in Nonlinear Models

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