Risk Analysis of Complex and Uncertain Systems - International Series in Operations Research & Management Science 129 (Hardback)Louis A. Cox, Jr. (author)
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In Risk Analysis of Complex and Uncertain Systems acknowledged risk authority Tony Cox shows all risk practitioners how Quantitative Risk Assessment (QRA) can be used to improve risk management decisions and policies. It develops and illustrates QRA methods for complex and uncertain biological, engineering, and social systems - systems that have behaviors that are just too complex to be modeled accurately in detail with high confidence - and shows how they can be applied to applications including assessing and managing risks from chemical carcinogens, antibiotic resistance, mad cow disease, terrorist attacks, and accidental or deliberate failures in telecommunications network infrastructure. This book was written for a broad range of practitioners, including decision risk analysts, operations researchers and management scientists, quantitative policy analysts, economists, health and safety risk assessors, engineers, and modelers.
Publisher: Springer-Verlag New York Inc.
Number of pages: 436
Weight: 859 g
Dimensions: 234 x 156 x 25 mm
Edition: 2009 ed.
From the reviews:
"The new results of this book include many real life applications especially in health management. ... More applications to the specialists are given throughout the book. The book is written for practitioners but I think it is quite useful for anyone interested in risk analysis and assessment. ... Concluding, this is one of the best books on quantitative risk assessment. I strongly recommended it to anyone interested in reducing risk in this highly volatile world." (E. Ahmed, Zentralblatt MATH, Vol. 1168, 2009)
"The book is devoted to the development of quantitative risk assessment (QRA) for complex and uncertain biological, engineering, and social systems. ... This book is written for practitioners using rational quantitative risk analysis in various areas. The methods and strategies included are good enough to help one make effective risk management decisions." (Krzysztof Szajowski, Mathematical Reviews, Issue 2012 c)
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