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Risk Analysis of Complex and Uncertain Systems

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Cover of 'Risk Analysis of Complex and Uncertain Systems'

Table of Contents

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    Book Overview
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    Chapter 1 Quantitative Risk Assessment Goals and Challenges
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    Chapter 2 Introduction to Engineering Risk Analysis
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    Chapter 3 Introduction to Health Risk Analysis
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    Chapter 4 Limitations of Risk Assessment Using Risk Matrices
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    Chapter 5 Limitations of Quantitative Risk Assessment Using Aggregate Exposure and Risk Models
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    Chapter 6 Identifying Nonlinear Causal Relations in Large Data Sets
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    Chapter 7 Overcoming Preconceptions and Confirmation Biases Using Data Mining
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    Chapter 8 Estimating the Fraction of Disease Caused by One Component of a Complex Mixture: Bounds for Lung Cancer
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    Chapter 9 Bounding Resistance Risks for Penicillin
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    Chapter 10 Confronting Uncertain Causal Mechanisms – Portfolios of Possibilities
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    Chapter 11 Determining What Can Be Predicted: Identifiability
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    Chapter 12 Predicting the Effects of Changes: Could Removing Arsenic from Tobacco Smoke Significantly Reduce Smoker Risks of Lung Cancer?
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    Chapter 13 Simplifying Complex Dynamic Networks: A Model of Protease Imbalance and COPD Dynamic Dose-Response
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    Chapter 14 Value of Information (VOI) in Risk Management Policies for Tracking and Testing Imported Cattle for BSE
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    Chapter 15 Improving Antiterrorism Risk Analysis
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    Chapter 16 Designing Resilient Telecommunications Networks
Attention for Chapter 15: Improving Antiterrorism Risk Analysis
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Citations

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Chapter title
Improving Antiterrorism Risk Analysis
Chapter number 15
Book title
Risk Analysis of Complex and Uncertain Systems
Published by
Springer, Boston, MA, January 2009
DOI 10.1007/978-0-387-89014-2_15
Book ISBNs
978-0-387-89013-5, 978-0-387-89014-2
Authors

Louis Anthony Cox, Cox, Louis Anthony

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 1 50%
Researcher 1 50%
Readers by discipline Count As %
Veterinary Science and Veterinary Medicine 1 50%
Design 1 50%