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Optimization of Kernel and Weighted Local Regression Methods

  • Hans-Georg Müller
Part of the Lecture Notes in Statistics book series (LNS, volume 46)

Abstract

Optimization here means minimization of the asymptotically leading term of the IMSE. Since the asymptotic expression for the IMSE is the same for both kernel and weighted local least squares methods, optimization considerations are also the same.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1988

Authors and Affiliations

  • Hans-Georg Müller
    • 1
    • 2
  1. 1.Institute of Medical StatisticsUniversity of Erlangen-NürnbergErlangenFederal Republic of Germany
  2. 2.Division of StatisticsUniversity of CaliforniaDavisUSA

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