Modelling under risk and uncertainty : an introduction to statistical, phenomenological and computational methods /

"This volume addresses a concern of very high relevance and growing interest for large industries or environmentalists: risk and uncertainty in complex systems. It gives new insight on the peculiar mathematical challenges generated by recent industrial safety or environmental control analysis,...

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Bibliographic Details
Call Number:Libro Electrónico
Main Author: Rocquigny, Etienne de
Format: Electronic eBook
Language:Inglés
Published: Chichester, West Sussex, U.K. : Wiley, 2012.
Subjects:
Industrial management > Mathematical models.
Uncertainty > Mathematical models.
Risk management > Mathematical models.
Gestion d'entreprise > Modèles mathématiques.
Gestion du risque > Modèles mathématiques.
MATHEMATICS > Probability & Statistics > General.
Industrial management > Mathematical models
Risk management > Mathematical models
Uncertainty > Mathematical models
Online Access:Texto completo (Requiere registro previo con correo institucional)
Table of Contents:
  • Applications and practices of modelling, risk and uncertainty
  • A generic modelling framework
  • A generic tutorial example: natural risk in an industrial installation
  • Understanding natures of uncertainty, risk margins and time bases for probabilistic decision-making
  • Direct statistical estimation techniques
  • Combined model estimation through inverse techniques
  • Computational methods for risk and uncertainty propagation
  • Optimising under uncertainty: economics and computational challenges
  • Conclusion: perspectives of modelling in the context of risk and uncertainty and further research.

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