1. Applications and Practices of Modelling, Risk and Uncertainty

  1. Etienne de Rocquigny

Published Online: 11 APR 2012

DOI: 10.1002/9781119969495.ch1

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) Applications and Practices of Modelling, Risk and Uncertainty, in Modelling Under Risk and Uncertainty: An Introduction to Statistical, Phenomenological and Computational Methods, John Wiley & Sons, Ltd, Chichester, UK. doi: 10.1002/9781119969495.ch1

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:

  • modelling applications, risk and uncertainty;
  • protection, against natural risk;
  • ‘initiator/frequency approach’;
  • domain of structural reliability;
  • industrial safety, and PRA;
  • UASA;
  • forecast, time-based modelling in weather;
  • generic modeling, risk and uncertainty

Summary

This chapter contains sections titled:

  • Protection against natural risk

  • Engineering design, safety and structural reliability analysis (SRA)

  • Industrial safety, system reliability and probabilistic risk assessment (PRA)

  • Modelling under uncertainty in metrology, environmental/sanitary assessment and numerical analysis

  • Forecast and time-based modelling in weather, operations research, economics or finance

  • Conclusion: The scope for generic modelling under risk and uncertainty

  • References