8. Smoothing Methods for Discrete Data

  1. Michael G. Schimek
  1. Jeffrey S. Simonoff1 and
  2. Gerhard Tutz2

Published Online: 30 JAN 2012

DOI: 10.1002/9781118150658.ch8

Smoothing and Regression: Approaches, Computation, and Application

Smoothing and Regression: Approaches, Computation, and Application

How to Cite

Simonoff, J. S. and Tutz, G. (2000) Smoothing Methods for Discrete Data, in Smoothing and Regression: Approaches, Computation, and Application (ed M. G. Schimek), John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/9781118150658.ch8

Editor Information

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

Author Information

  1. 1

    New York University, New York, USA

  2. 2

    Ludwig–Maximilians Universität München, Munich, Germany

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:

  • smoothing contingency tables;
  • categorical regression;
  • discrete data;
  • univariate categorical data;
  • kernel estimation

Summary

This chapter contains sections titled:

  • Introduction

  • Smoothing Contingency Tables

  • Smoothing Approaches to Categorical Regression

  • Conclusion