10. Annexes

  1. Etienne de Rocquigny

Published Online: 11 APR 2012

DOI: 10.1002/9781119969495.ch10

Modelling Under Risk and Uncertainty: An Introduction to Statistical, Phenomenological and Computational Methods

Modelling Under Risk and Uncertainty: An Introduction to Statistical, Phenomenological and Computational Methods

How to Cite

de Rocquigny, E. (2012) Annexes, in Modelling Under Risk and Uncertainty: An Introduction to Statistical, Phenomenological and Computational Methods, John Wiley & Sons, Ltd, Chichester, UK. doi: 10.1002/9781119969495.ch10

Author Information

  1. Ecole Centrale Paris, Université Paris-Saclay, France

Publication History

  1. Published Online: 11 APR 2012
  2. Published Print: 20 APR 2012

Book Series:

  1. Wiley Series in Probability and Statistics

Book Series Editors:

  1. Walter A. Shewhart and
  2. Samuel S. Wilks

ISBN Information

Print ISBN: 9780470695142

Online ISBN: 9781119969495

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Keywords:

  • Annexes;
  • probabilities, statistical modelling of uncertainty;
  • continuous probabilistic distributions;
  • probabilistic foundations;
  • estimating uncertainty model, and direct data;
  • pedagogical example;
  • Annex 5, mathematical demonstrations;
  • Proof of the Wilks formula;
  • chaining of monotony;
  • estimator, adaptive Monte-Carlo under monotony

Summary

This chapter contains sections titled:

  • Annex 1 – refresher on probabilities and statistical modelling of uncertainty

  • Annex 2 – comments about the probabilistic foundations of the uncertainty models

  • Annex 3 – introductory reflections on the sources of macroscopic uncertainty

  • Annex 4 – details about the pedagogical example

  • Annex 5 – detailed mathematical demonstrations

  • References