Risk Management, Technology - General & Miscellaneous

Risk Modeling, Assessment, and Management

Name: Risk Modeling, Assessment, and Management
Author: Yacov Y. Haimes
ISBN: 9781118210925

by Yacov Y. Haimes

Write a review

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. 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 book unites the latest theories and methodologies from diverse disciplines. 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.

"...unites the latest theories and methodologies from diverse disciplines; explains how to identify real, perceived, and imaginary risks; offers extensive coverage of the modeling process; and introduces advanced methodologies.

About the Author, Yacov Y. Haimes

Yacov Y. Haimes is the Lawrence R. Quarles Professor of Systems and Information Engineering and Civil Engineering. He is the Founding Director (1987) of the Center for Risk Management of Engineering Systems at the University of Virginia.

Reviews

There are no reviews yet. Log in to write one.

Editorials

Booknews

A holistic exploration of risk that attempts to balance the quantitative and empirical dimensions of risk assessment and management with the more qualitative and normative aspects of decision making under risk and uncertainty. Haimes (risk analysis, U. of Virginia) shows how to quantify risk and construct probability in conjunction with real-world decision-making problems including institutional, organizational, political, and cultural considerations. He avoids higher mathematics whenever possible in his presentation of the material. Includes many case studies used to illustrate the analytical methods under discussion. Intended for risk management professionals working in universities, industry, and government. Annotation c. by Book News, Inc., Portland, Or.

From the Publisher

“This is a text for students of risk analysis, covering everything from the art of risk analysis to the statistics of extremes.” (Natural Hazards Observer, 1 March 2013)