M-type estimators of regression function with applications

DOI10.1016/0167-7152(94)00215-TzbMath0838.62025MaRDI QIDQ1907901

Kai Wang Ng, Li Xing Zhu

Publication date: 6 June 1996

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

zbMATH Keywords

entropysemiparametric modelsnonparametric regressionM-type estimatorsalmost-sure consistency

Mathematics Subject Classification ID

Density estimation (62G07) Asymptotic properties of nonparametric inference (62G20)

Related Items (1)

Asymptotic properties for an M-estimator of the regression function with truncation and dependent data

Cites Work

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• A new approach to least-squares estimation, with applications
• Some limit theorems for empirical processes (with discussion)
• Estimating a regression function
• Robust Estimation of a Location Parameter
• The Estimation of the Parameters of a Linear Regression System Obeying Two Separate Regimes
• Convergence of stochastic processes

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