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In every decision context there are things we know and things we do not know. Risk analysis uses science and the best available evidence to assess what we know-and it is intentional in the way it addresses the importance of the things we don't know. Principles of Risk Analysis: Decision Making Under Uncertainty lays out the tasks of risk analysis i
Primer on Risk Analysis: Decision Making Under Uncertainty, Second Edition lays out the tasks of risk analysis in a straightforward, conceptual manner, tackling the question, "What is risk analysis?" Distilling the common principles of many risk dialects into serviceable definitions, it provides a foundation for the practice of risk management and decision making under uncertainty for professionals from all disciplines. New in this edition is an expanded risk management emphasis that includes an overview chapter on enterprise risk management and a chapter on decision making under uncertainty designed to help decision makers use the results of risk analysis in practical ways to improve decisi...
This is an exciting time for natural resources planning. There are amazing technologies available to planners and a wide and growing array of resources, problems, and opportunities that need attention. Private and public interests are taking up these issues all over the world and at all levels of involvement. At the same time, inefficient planning policies and procedures can threaten the art of successful planning. Demonstrating how to put effective planning theory into practice, Introduction to Natural Resource Planning introduces an iterative planning process with five steps and two ongoing processes. Suitable for any type of planning setting, the book describes each step of the planning p...
The basics -- Uncertainty -- Risk management -- Risk assessment -- Risk communication -- Enterprise risk management -- Problem identification for risk management -- Brainstorming -- Economics for risk management -- Risk assessor's toolbox -- Art and practice of risk assessment modeling -- Probability review -- Choosing a probability distribution -- Characterizing uncertainty through expert elicitation -- Monte Carlo process -- Probabilistic scenario analysis -- Sensitivity analysis -- Presenting and using assessment results -- Decision making under uncertainty -- Message development -- Telling your story -- Examples
Phytosanitary risk management is essential to the global economy as well as the world's ability to feed itself. This book is about understanding the fundamentals of phytosanitary risk management for trade and non-trade issues, and how to manage those risks in an effective and efficient manner that is consistent with the international regulatory framework. Its purpose is to provide the international phytosanitary community and its principal stakeholders with a strong foundation in risk management concepts and a thorough guide to best practices.