Risk Analysis of Complex and Uncertain Systems

Cox Jr. Louis Anthony

ISBN 10: 1441947035 / ISBN 13: 9781441947031

Editore: Springer, 2010

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Print on Demand pp. 468 29 Illus.

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Dati bibliografici

• Titolo: Risk Analysis of Complex and Uncertain Systems
• Editore: Springer
• Data di pubblicazione: 2010
• Lingua: Inglese
• ISBN 10: 1441947035
• ISBN 13: 9781441947031
• Rilegatura: Brossura
• Condizione: New

Descrizione articolo

Riassunto

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.

Dalla quarta di copertina

"Tony Cox is among the most active and creative architects and users of quantitative risk analysis. This book is full of interesting equations, conceptual designs and conundrums that characterize QRA and its applications to risk management. Informed by trenchant thinking and perceptive writing, this is a timely resource for the risk analysis community."  Michael R. Greenberg, Professor and Faculty Dean, Edward J. Bloustein School of Planning and Public Policy, Rutgers University

 

"Tony Cox's impressive book applies both simple and cutting-edge risk models to a variety of fields.  It demonstrates creative but tractable ways to model real-world problems of great practical importance regarding biological, engineering, and social risks.  This book deserves to become influential and widely read by those seeking practical state-of-the-art methods for risk analysis."  Vicki Bier, Professor, Engineering Physics and Industrial Engineering & Director - Center for Human Performance and Risk Analysis, University of Wisconsin-Madison

 

"Risk analysis is as old as the first cave dweller mulling how to survive winter or woolly mammoths. It remains essential today in our world of accidents, disease, climate change and terrorism.  But some say that quantitative risk analysis is too complicated or time-consuming, and that qualitative intuition is a better way to make decisions.  In this ambitious and meticulous book, Tony Cox makes the case that quantitative risk analysis is actually the antidote to uncertainty and complexity, superior to other modes of thinking, both practical and effective.  Cox raises the bar on a vital debate."  Jonathan B. Wiener, Duke University, and President, Society for Risk Analysis (2008)

 

"This is an excellent, approachable read for any risk manager. Simple but devastating examples show how not to do risk analysis.  Insightful case studies apply quantitative risk assessment to natural, random threats, and to terrorist threats posed by an intelligent adversary.  This is a timely and much-needed resource for skeptical consumers of risk analysis advice and products, and for those who need to improve upon current, dangerously simplistic, guidance on threat assessment and risk management."  Gerald G. Brown, Distinguished Professor, Operations Research Department, Naval Postgraduate School, Monterey, CA

 

"This book provides a refreshing new perspective on quantitative risk assessment, and should be of interest to a wide range of practitioners. Drawing substantially on his own work, Tony Cox demonstrates that QRA can be applied even to challenging and complex systems."   Suresh Moolgavkar, Vice President and Principal Scientist, Exponent Scientific Consulting; Professor of Epidemiology, University of Washington