Local Linear kernel estimation for discontinuous nonparametric regression functions

Jiti Gao, Anthony N. Pettitt, Rodney C.L. Wolff

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Abstract

In this paper, we consider using a local linear (LL) smoothing method to estimate a class of discontinuous regression functions. We establish the asymptotic normality of the integrated square error (ISE) of a LL-type estimator and show that the ISE has an asymptotic rate of convergence as good as for smooth functions, and the asymptotic rate of convergence of the ISE of the LL estimator is better than that of the Nadaraya-Watson (NW) and the Gasser-Müller (GM) estimators.

Original languageEnglish
Pages (from-to)2871-2894
Number of pages24
JournalCommunications in Statistics - Theory and Methods
Volume27
Issue number12
DOIs
Publication statusPublished - 1 Jan 1998

Keywords

  • Discontinuous regression function
  • Integrated square error
  • Kernel estimation
  • Local linear smoothing
  • Nonparametric regression

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