Breakthroughs in Decision Science and Risk Analysis
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Breakthroughs in Decision Science and Risk Analysis
Book Hero Magic created this recommendation. While it's new and still learning, it may not be perfect - your feedback is welcome! IS THIS YOUR NEXT READ?
With a simple and clear exposition, Breakthroughs in Decision Science and Risk Analysis details recent advances in the theory, methods, and applications of decision and risk analysis that can significantly change and improve how we learn from important practical decisions.
Discover recent powerful advances in the theory, methods, and applications of decision and risk analysis.
Focusing on modern advances and innovations in the field of decision analysis (DA), Breakthroughs in Decision Science and Risk Analysis presents theories and methods for making, improving, and learning from significant practical decisions. The book explains these new methods and important applications in an accessible and stimulating style for readers from multiple backgrounds, including psychology, economics, statistics, engineering, risk analysis, operations research, and management science.
Highlighting topics not conventionally found in DA textbooks, the book illustrates genuine advances in practical decision science, including developments and trends that depart from, or break with, the standard axiomatic DA paradigm in fundamental and useful ways. The book features methods for coping with realistic decision-making challenges such as online adaptive learning algorithms, innovations in robust decision-making, and the use of a variety of models to explain available data and recommend actions. In addition, the book illustrates how these techniques can be applied to dramatically improve risk management decisions. Breakthroughs in Decision Science and Risk Analysis also includes:
- An emphasis on new approaches rather than only classical and traditional ideas.
- Discussions of how decision and risk analysis can be applied to improve high-stakes policy and management decisions.
- Coverage of the potential value and realism of decision science within applications in financial, health, safety, environmental, business, engineering, and security risk management.
- Innovative methods for deciding what actions to take when decision problems are not completely known or described or when useful probabilities cannot be specified.
- Recent breakthroughs in the psychology and brain science of risky decisions, mathematical foundations and techniques, and integration with learning and pattern recognition methods from computational intelligence.
Breakthroughs in Decision Science and Risk Analysis is an ideal reference for researchers, consultants, and practitioners in the fields of decision science, operations research, business, management science, engineering, statistics, and mathematics. The book is also an appropriate guide for managers, analysts, and decision and policy makers in the areas of finance, health and safety, environment, business, engineering, and security risk management.
Series: Wiley Series in Operations Research and Management Science
View allBook Hero Magic summarised reviews for this book. While it's new and still learning, it may not be perfect - your feedback is welcome! HOW HAS THIS BEEN REVIEWED?
Ben Rothke praises the book for detailing recent advances in decision and risk analysis, highlighting its coverage of neuroscience in risky decisions and methods for decision-making under uncertain information.
Book Details
INFORMATION
ISBN: 9781118217160
Publisher: John Wiley & Sons Inc
Format: Hardback
Date Published: 12 May 2015
Country: United States
Imprint: John Wiley & Sons Inc
Contributors:
- Edited by Louis Anthony Cox, Jr.
Audience: Tertiary education, Professional and scholarly
DIMENSIONS
Spine width: 23.0mm
Width: 163.0mm
Height: 243.0mm
Weight: 567g
Pages: 328
About the Author
Louis Anthony (Tony) Cox, Jr. PhD, is Chief SciencesOfficer of NextHealth Technologies, a Denver-based health careadvanced analytics software company and President of CoxAssociates, Inc., a Denver-based applied research companyspecializing in quantitative health risk assessment, risk analysis,causal modeling, and operations research. Dr. Cox is alsoClinical Professor of Biostatistics and Informatics at theUniversity of Colorado at Denver, a member of the National Academyof Engineering, and Editor-in-Chief of Risk Analysis: AnInternational Journal.
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