Risk Modeling, Assessment, and Management

By Yacov Y. Haimes

Book Overview

Risk Modeling, Assessment, and Management describes the state of the art of risk analysis, a rapidly growing field with important applications in engineering, science, manufacturing, business, management, and public policy. Unlike any other text on the subject, this definitive work integrates the art and science of risk analysis. It shows clearly how to quantify risk and construct probability in conjunction with real-world decision-making problems, including a host of institutional, organizational, political, and cultural considerations. Presenting basic concepts as well as advanced material, avoiding higher mathematics whenever possible, and incorporating numerous examples and case studies to illustrate the analytical methods under discussion, this remarkable book: Unites the latest theories and methodologies from diverse disciplines Addresses professionals at different levels of mathematical ability Explains how to identify real, perceived, and imaginary risks Details the most effective and least expensive approaches to risk management Offers extensive coverage of the modeling process Considers the role of government and regulatory agencies in risk management Introduces the conditional expected value method as a supplement to the mathematical expectation formula. Timely, comprehensive, and supplemented with more than 200 figures, Risk Modeling, Assessment, and Management is an essential reference for professionals working in universities, industry, and government; and for anyone interested in risk analysis in virtually any discipline.

• Format: Hardcover
• Language: English
• ISBN: 0471240052
• ISBN13: 9780471240051
• Release Date: September 1998
• Publisher: Wiley-Interscience
• Length: 744 Pages
• Weight: 2.55 lbs.
• Dimensions: 1.6" x 6.5" x 9.6"

Customer Reviews

A MUST OWN/READ BOOK!

The book contains many modern risk analysis tools not found in other books of its kind. What I like with the book is that it presents very sound and meaningful challenges to many traditional risk methods and provides alternative techniques to correct these shortcomings. The examples are practical and easy to comprehend. I hope that the future editions shall include exercises (or problems) to serve as mechanism to further hone the understanding of the students (or any readers of the book).