Rational Choice and Judgment

Rex Brown 지음

Wiley-Interscience 2005년 05월 06일 출간

작품소개

책소개

The tools needed to make a better, more informed decision.Decision analysis (DA) is the logic of making a decision using quantitative models of the decider-s factual and value judgments. DA is already widely used in business, government, medicine, economics, law, and science. However, most resources present only the logic and models rather than demonstrating how these methods can be effectively applied to the real world. This book offers an innovative approach to decision analysis by focusing on decision-making tools that can be utilized immediately to make better, more informed decisions. It uses no mathematics beyond arithmetic.Examining how deciders think about their choices, this book provides problem-solving techniques that not only reflect sound modeling but also meet other essential requirements: they build on the thinking and knowledge that deciders already possess; they provide knowledge in a form that people are able and willing to provide; they produce results that the decider can use; and they are based on intimate and continuous interactions with the decider. The methods outlined in this text take into account such factors as the use, the user, the organization, available data, and subjective knowledge.Replete with exercises, case studies, and observations from the author-s own extensive consulting experience, the book quickly engages readers and enables them to master decision analysis by doing rather than by simply reading. Using familiar situations, it demonstrates how to handle knowledge as it unfolds in the real world. A term project is presented in the final chapter, in which readers can select an actual decision-making problem and apply their newfound tools to prepare a recommendation. A sample report is provided in the appendix.Beginning with qualitative structuring, the text advances to sophisticated quantitative skills that can be applied in both public and private enterprise, including:Modeli

목차

Preface.Who Might Use This Book.Background.Substance of this Book.Pedagogy.Demands on Students and Instructor.Other Approaches, Other Materials.Author Background.Acknowledgments.Prolog: A Baby Delivery Dilemma.1. Basics and Overview.2. Uses of Decision Analysis.Appendix 2A: Decision Analysis Reflects on His Work.3. Evaluating a Choice Qualitatively.4. Quantitative Aid to Rational Choice.Appendix 4A: Business Decision Tree Example.Appendix 4B: Private Example: Study or Play?5. Describing Outcomes.6. Taking Preference Into Account.7. Choice Under Uncertainty.Appendix 7A. Technical Notes.8. Decision Aiding Strategy.Appendix 8A. Influence Sketches.9. Aiding the Professional Decider.Appendix 9A. Environmental Regulation Case Study.10. Assessing and Inferring Probabilities.11. Eliciting Preferences.12. Applied Term Project.Appendix 12A. Student Project Report.Epilog.References.Glossary of Concepts and Terms.Index.

출판사 서평

"...the most thorough and accessible treatment of decision analysis that I am familiar with...a comprehensive toolkit that will be useful to anyone who seeks further practice in using the technology." (PscyCRITIQUES, July 19, 2006)"…a well-written textbook aimed at helping students make better personal and professional decisions…the techniques in the book are worthy of study." (MAA Reviews, April 8, 2006)"...the book presents an insight on the practical application of decision analysis in the private and public sector." (EADM Bulletin, Autumn 2005)"...an excellent resource for any organization or as a textbook for decision-making courses in a variety of fields, including public policy, business management, and systems engineering." (SirReadaLot.org)

작가정보

저자(글) Rex Brown

저자 :

저자 :

저자 :

저자 :

저자 :
저자 :
저자 :
REX BROWN was trained as a social scientist and statistician. He currently holds the position of Distinguished Senior Fellow in the School of Public Policy at George Mason University. He has worked as a decision-making adviser to government and business leaders, and has taught decision analysis for statistics, psychology, and management programs at Harvard Business School, Cambridge University, and the London School of Economics and Political Science.