Overview

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.

Full Product Details

Author:   Louis Anthony Cox Jr.
Publisher:   Springer-Verlag New York Inc.
Imprint:   Springer-Verlag New York Inc.
Edition:   Softcover reprint of hardcover 1st ed. 2009
Volume:   129
Dimensions:   Width: 15.50cm , Height: 2.30cm , Length: 23.50cm
Weight:   0.712kg
ISBN:  

9781441947031

ISBN 10:   1441947035
Pages:   436
Publication Date:   08 December 2010
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print  
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

1 INTRODUCTION TO RISK ANALYSIS.- Quantitative Risk Assessment Goals and Challenges.- to Engineering Risk Analysis.- to Health Risk Analysis.- 2 AVOIDING BAD RISK ANALYSIS.- Limitations of Risk Assessment Using Risk Matrices.- Limitations of Quantitative Risk Assessment Using Aggregate Exposure and Risk Models.- 3 PRINCIPLES FOR DOING BETTER.- Identifying Nonlinear Causal Relations in Large Data Sets.- Overcoming Preconceptions and Confirmation Biases Using Data Mining.- Estimating the Fraction of Disease Caused by One Component of a Complex Mixture: Bounds for Lung Cancer.- Bounding Resistance Risks for Penicillin.- Confronting Uncertain Causal Mechanisms – Portfolios of Possibilities.- Determining What Can Be Predicted: Identifiability.- 4 APPLICATIONS AND EXTENSIONS.- Predicting the Effects of Changes: Could Removing Arsenic from Tobacco Smoke Significantly Reduce Smoker Risks of Lung Cancer?.- Simplifying Complex Dynamic Networks: A Model of Protease Imbalance and COPD Dynamic Dose-Response.- Value of Information (VOI) in Risk Management Policies for Tracking and Testing Imported Cattle for BSE.- Improving Antiterrorism Risk Analysis.- Designing Resilient Telecommunications Networks.

Reviews

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)

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)

"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)"

Author Information

Tab Content 6

Author Website:  

Customer Reviews

Recent Reviews

No review item found!

Add your own review!

Countries Available

All regions