Risk Analysis in Engineering and Economics is required reading for decision-making under conditions of uncertainty. Drawing on his extensive experience in uncertainty, risk modeling, and analysis, the author covers everything from basic theory and key computational algorithms to data needs, sources, and collection. He emphasizes real-world solutions and the practical use of the methods while carefully examining the advantages and limitations of each to help readers translate the discussed techniques into practice.
The third edition continues and advances the successful approach of this text. It offers:
- The fundamental concepts, techniques, and applications of the subject in a style tailored to meet the needs of students and practitioners of engineering, science, economics, and finance
- Introduces the fundamentals to facilitate quantification and rational decision-making
- Enhances the coverage of economic valuation, risk tolerance, and attitude
- Emphasizes the practical use of these methods through real-world case studies
- Establishes the limitations, advantages, and disadvantages of various methods
- Targets analysts, researchers, and/or anyone who deals with risk analysis to solve problems
The book is designed to emphasize the applications of the concepts presented. The fundamental concepts are properly balanced in eight well-organized chapters.
The outstanding features of the third edition include:
- More material on risk management and finance, including enhancements of the coverage of economic valuation, risk tolerance, and risk attitudes in decision-making
- A renewed emphasis on practical problem solving
- More diversity in examples from engineering, the sciences, insurance, and so forth
- Maintains illustrative, complex examples with explicitly presented computations to enable students to reproduce the computations
- Enhanced exercises to increase the difficulty of some of them
Other books by the author include Numerical Analysis for Engineers, third edition, with Richard H. McCuen, © 2026, and Probability, Statistics, and Reliability for Engineers and Scientists, fourth edition, with Richard H. McCuen, © 2025, both published by CRC Press.