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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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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Rocquigny, Etienne de
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Chichester, West Sussex, U.K. : Wiley, 2012.
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • 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.