- 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.