Making Hard Decisions An Introduction to Decision Analysis

ISBN-10: 0534260349
ISBN-13: 9780534260347
Edition: 2nd 1996 (Revised)
Authors: Robert T. Clemen
List price: $298.95
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Description: This best-selling and up-to-date survey of decision analysis concepts and techniques is accessible to students with limited mathematical backgrounds. It is designed for advanced undergraduate and MBA-level courses in decision analysis and also for  More...

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Book details

List price: $298.95
Edition: 2nd
Copyright year: 1996
Publisher: Brooks/Cole
Publication date: 8/15/1997
Binding: Hardcover
Pages: 696
Size: 7.75" wide x 9.75" long x 1.25" tall
Weight: 2.530
Language: English

This best-selling and up-to-date survey of decision analysis concepts and techniques is accessible to students with limited mathematical backgrounds. It is designed for advanced undergraduate and MBA-level courses in decision analysis and also for business courses in introductory quantitative methods. (Prerequisites: college algebra; introductory statistics.)

Robert T. Clemen is Professor at the Fuqua School of Business at Duke University. He has been an active contributor to the field of decision analysis since earning his Ph.D. at Indiana University in 1984 and is an authority in the use of expert information in decision and risk analysis. He has interests in applying decision analysis in the areas of energy use and corporate sustainabiligy. Aside from his research interests, Bob has a strong focus on making decision analysis understandable to all students at all levels, ranging from high school students to executives.

Introduction
Modeling Decisions
Elements of Decision Problems
Structuring Decisions
Making Choices
Sensitivity Analysis
Creativity and Decision Structuring
Modeling Uncertainty
Probability Basics
Subjective Probability
Theoretical Probability Models
Using Data
Monte Carlo Simulation
Value of Information
Modeling Preferences
Risk Attitude
Utility Axioms, Paradoxes, and Implications
Conflicting Objectives I: Some Basic Techniques
Conflicting Objectives II: Multiattribute Utility Models
Conclusion and Further Reading Appendixes

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