5. Spline and Kernel Regression under Shape Restrictions

  1. Michael G. Schimek
  1. Michel Delecroix1 and
  2. Christine Thomas-Agnan2

Published Online: 30 JAN 2012

DOI: 10.1002/9781118150658.ch5

Smoothing and Regression: Approaches, Computation, and Application

Smoothing and Regression: Approaches, Computation, and Application

How to Cite

Delecroix, M. and Thomas-Agnan, C. (2000) Spline and Kernel Regression under Shape Restrictions, in Smoothing and Regression: Approaches, Computation, and Application (ed M. G. Schimek), John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/9781118150658.ch5

Editor Information

  1. Karl-Franzens-University of Graz, Austria, and University of Vienna, Austria

Author Information

  1. 1

    ENSAI, Rennes, France

  2. 2

    Université de Toulouse I, Toulouse, France

Publication History

  1. Published Online: 30 JAN 2012
  2. Published Print: 24 JUL 2000

ISBN Information

Print ISBN: 9780471179467

Online ISBN: 9781118150658

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Keywords:

  • kernel regression;
  • shape restrictions;
  • main methods;
  • software hints

Summary

This chapter contains sections titled:

  • Introduction

  • Description of the Main Methods

  • A Comparative View

  • Examples

  • Software Hints