Consistency and normality of Huber-Dutter estimators for partial linear model

DOI10.1007/s11425-008-0028-9zbMath1184.62030OpenAlexW2268472929MaRDI QIDQ1042771

Peng Yu, Xing-wei Tong, Heng-Jian Cui

Publication date: 7 December 2009

Published in: Science in China. Series A (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11425-008-0028-9

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Nonparametric regression and quantile regression (62G08) Asymptotic properties of nonparametric inference (62G20)

Related Items

Consistency and Normality ofM-Estimators in Partly Linear Models with Stochastic Adapted Errors, Asymptotic normality of DHD estimators in a partially linear model, Corrected-loss estimation for error-in-variable partially linear model, Asymptotic normality of Huber-Dutter estimators in a linear EV model with AR(1) processes

Cites Work

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• Asymptotic behavior of robust estimators of regression and scale parameters with fixed carriers
• Convergence rates for parametric components in a partly linear model
• Optimal rates of convergence for nonparametric estimators
• Convergence rates for estimation in certain partially linear models
• Bivariate tensor-product \(B\)-splines in a partly linear model
• Optimal global rates of convergence for nonparametric regression
• Convergence rate of b-spline estimators of nonparametric conditional quantile functions^∗
• Minimum mean squared estimation of location and scale parameters under misspecification of the model
• A Robust Method for Multiple Linear Regression