13. Spatial-Process Estimates as Smoothers

  1. Michael G. Schimek
  1. Douglas W. Nychka

Published Online: 30 JAN 2012

DOI: 10.1002/9781118150658.ch13

Smoothing and Regression: Approaches, Computation, and Application

Smoothing and Regression: Approaches, Computation, and Application

How to Cite

Nychka, D. W. (2000) Spatial-Process Estimates as Smoothers, in Smoothing and Regression: Approaches, Computation, and Application (ed M. G. Schimek), John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/9781118150658.ch13

Editor Information

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

Author Information

  1. National Center for Atmospheric Research, Boulder, Colorado, USA

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:

  • spatial–process estimates;
  • thin–plate splines;
  • ridge–regression estimates;
  • shrinkage;
  • predicting ambient ozone

Summary

This chapter contains sections titled:

  • Introduction

  • Thin-Plate Splines

  • Spatial-Process Estimates

  • Ridge-Regression Estimates and Shrinkage

  • A Response-Surface Example

  • Predicting Ambient Ozone

  • Future Directions