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Cox, Jr., Louis Anthony - Improving Risk Analysis - 9781461460572 - V9781461460572
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Improving Risk Analysis

€ 196.21
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Description for Improving Risk Analysis Hardcover. Written by a leading authority on applying operational research to risk management, this book sets out improved methods of risk analysis that avoid the many pitfalls in assessing and managing risk where the probabilities of consequences are hard to define. Series: International Series in Operations Research & Management Science. Num Pages: 386 pages, 23 black & white illustrations, 16 colour illustrations, 22 black & white tables, 2 colou. BIC Classification: KJT; KJU. Category: (P) Professional & Vocational. Dimension: 244 x 170 x 27. Weight in Grams: 740.

Improving Risk Analysis shows how to better assess and manage uncertain risks when the consequences of alternative actions are in doubt.  The constructive methods of causal analysis and risk modeling presented in this monograph will enable to better understand uncertain risks and decide how to manage them.

The book is divided into three parts. Parts 1 shows how high-quality risk analysis can improve the clarity and effectiveness of individual, community, and enterprise decisions when the consequences of different choices are uncertain. Part 2 discusses social decisions.  Part 3 illustrates these methods and models, showing how to apply them to health effects ... Read more

"Tony Cox’s new book addresses what risk analysts and policy makers most need to know:  How to find out what causes what, and how to quantify the practical differences that changes in risk management practices would make. The constructive methods in Improving Risk Analysis will be invaluable in helping practitioners to deliver more useful insights to inform high-stakes decisions and policy,in areas ranging from disaster planning to counter-terrorism investments to enterprise risk management to air pollution abatement policies.  Better risk management is possible and practicable; Improving Risk Analysis explains how."
Elisabeth Pate-Cornell, Stanford University

"Improving Risk Analysis offers crucial advice for moving policy-relevant risk analyses towards more defensible, causally-based methods. Tony Cox draws on his extensive experience to offer sound advice and insights that will be invaluable to both policy makers and analysts in strengthening the foundations for important risk analyses. This much-needed book should be required reading for policy makers and policy analysts confronting uncertain risks and seeking more trustworthy risk analyses."
Seth Guikema, Johns Hopkins University

"TonyCox has been a trail blazer in quantitative risk analysis, and his new book gives readers the knowledge and tools needed to cut through the complexity and advocacy inherent in risk analysis.  Cox’s careful exposition is detailed and thorough, yet accessible to non-technical readers interested in understanding uncertain risks and the outcomes associated with different mitigation actions. Improving Risk Analysis should be required reading for public officials responsible for making policy decisions about how best to protect public health and safety in an uncertain world."
Susan E. Dudley, George Washington University

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Product Details

Format
Hardback
Publication date
2013
Publisher
Springer-Verlag New York Inc. United States
Number of pages
418
Condition
New
Series
International Series in Operations Research & Management Science
Number of Pages
386
Place of Publication
New York, NY, United States
ISBN
9781461460572
SKU
V9781461460572
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

Reviews for Improving Risk Analysis
From the book reviews: “This book is well written, broad in scope, current in topics, concise, and includes many citations. To aid readers who might have been overwhelmed by the contents in the previous chapters, the conclusions in the last chapter summarize the author’s messages. These conclusions and recommendations contrast how risk analysis is often practiced today and how ... Read more

Goodreads reviews for Improving Risk Analysis


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