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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 4: Limitations of Risk Assessment Using Risk Matrices
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Chapter title
Limitations of Risk Assessment Using Risk Matrices
Chapter number 4
Book title
Risk Analysis of Complex and Uncertain Systems
Published by
Springer, Boston, MA, January 2009
DOI 10.1007/978-0-387-89014-2_4
Book ISBNs
978-0-387-89013-5, 978-0-387-89014-2
Authors

Louis Anthony Cox, Cox, Louis Anthony

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 33%
Professor > Associate Professor 2 17%
Student > Ph. D. Student 1 8%
Researcher 1 8%
Student > Bachelor 1 8%
Other 0 0%
Unknown 3 25%
Readers by discipline Count As %
Social Sciences 2 17%
Business, Management and Accounting 2 17%
Veterinary Science and Veterinary Medicine 1 8%
Arts and Humanities 1 8%
Psychology 1 8%
Other 1 8%
Unknown 4 33%