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This comprehensive and accessible guide to risk assessment, management and governance approaches the topic from two angles, explaining new insights and enabling a synthesis of the engineering, statistical and social science perspectives on risk management.
This book presents a risk management framework designed to achieve better decisions and more desirable outcomes. It presents an in-depth discussion of some fundamental principles of risk management related to the use of expected values, uncertainty handling, and risk acceptance criteria.
This book on mathematical, statistical and stochastic models in reliability will help analysts formulate general failure models, establish formulae for computing performance measures, and determine how to identify optimal replacement policies.
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