Chapter 10. Continuous Networks

  1. Franco Taroni1,
  2. Colin Aitken2,
  3. Paolo Garbolino3 and
  4. Alex Biedermann4

Published Online: 16 MAY 2006

DOI: 10.1002/0470091754.ch10

Bayesian Networks and Probabilistic Inference in Forensic Science

Bayesian Networks and Probabilistic Inference in Forensic Science

How to Cite

Taroni, F., Aitken, C., Garbolino, P. and Biedermann, A. (2006) Continuous Networks, in Bayesian Networks and Probabilistic Inference in Forensic Science, John Wiley & Sons, Ltd, Chichester, UK. doi: 10.1002/0470091754.ch10

Author Information

  1. 1

    University of Lausanne, Switzerland

  2. 2

    University of Edinburgh, UK

  3. 3

    IUAV University, Venice, Italy

  4. 4

    University of Lausanne and Federal Office of Police, Berne, Switzerland

Publication History

  1. Published Online: 16 MAY 2006
  2. Published Print: 17 FEB 2006

Book Series:

  1. Statistics in Practice

Book Series Editors:

  1. Vic Barnett

Series Editor Information

  1. Nottingham Trent University, UK

ISBN Information

Print ISBN: 9780470091739

Online ISBN: 9780470091753

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Keywords:

  • continuous networks;
  • samples and estimates;
  • parameter and estimate;
  • standard deviation;
  • random variable (random quantity or uncertain quantity);
  • continuous measurements;
  • probability function

Summary

This chapter contains sections titled:

  • Introduction

  • Samples and estimates

  • Measurements

  • Use of a continuous distribution which is not normal

  • Appendix