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

• Main Author: Rocquigny, Etienne de
• Corporate Author: Wiley InterScience (Online service)
• Format: eBook
• Language: English
• Published: Hoboken, NJ : Wiley, 2012.
• Series: Wiley series in probability and statistics
• Subjects: Industrial management > Mathematical models.; Uncertainty > Mathematical models.; Risk management > Mathematical models.; MATHEMATICS > Probability & Statistics > General.; Electronic books.

"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,...

Table of Contents:

• Front Matter
• 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
• Annexes
• Epilogue
• Index
• Wiley Series in Probability and Statistics.