The field of risk science continues to expand and grow and the second edition of Principles of Risk Analysis: Decision Making Under Uncertainty responds to several significant changes in the market. The changes identified will be addressed through the addition of several new chapters. The language will be updated throughout the text and the book features several areas of expansion. As before, this book will continue to appeal to professionals who want to learn and apply risk science in their own professions. Remaining a discipline free guide to the principles of risk analysis that is accessible to all interested practitioners will remain a hallmark of this book.
Preface
About the Author
Chapter 1 : The Basics
Chapter 2 : Uncertainty
Chapter 3 : Risk Management
Chapter 4 : Risk Assessment
Chapter 5 : Risk Communication
Chapter 6 : Enterprise Risk Management
Chapter 7 : Problem Identification for Risk Management
Chapter 8 : Brainstorming
Chapter 9 : Economics of Risk Management
Chapter 10 : Risk Assessor’s Toolbox
Chapter 11 : The Art and Practice of Risk Assessment Modeling
Chapter 12 : Probability Review
Chapter 13 : Choosing a Probability Distribution
Chapter 14 : Characterizing Uncertainty through Expert Elicitation
Chapter 15 : Monte Carlo Process
Chapter 16 : Probabilistic Scenario Analysis
Chapter 17 : Sensitivity Analysis
Chapter 18 : Presenting and Using Assessment Results
Chapter 19 : Decision Making Under Uncertainty
Chapter 20 : Message Development
Chapter 21 : Telling Your Story
Chapter 22 : Example Applications
Appendix A : Using Palisade’s DecisionTools® Suite
Index
