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Overview
MAKING HARD DECISIONS WITH DECISIONTOOLS® is a new edition of Bob Clemen's best-selling title, MAKING HARD DECISIONS. This straightforward book teaches the fundamental ideas of decision analysis, without an overly technical explanation of the mathematics used in decision analysis. This new version incorporates and implements the powerful DecisionTools® software by Palisade Corporation, the world's leading toolkit for risk and decision analysis. At the end of each chapter, topics are illustrated with step-by-step instructions for DecisionTools®. This new version makes the text more useful and relevant to students in business and engineering.
- Topics are illustrated with step-by-step instructions for DecisionTools®.
- The textbook offers tutorials for using the DecisionTools® software.
- The end-of-chapter materials include a wide variety of exercises, questions, problems, and case studies. The exercises are accessible, while questions and problems offer an added challenge to students.
- Many case studies, both real-world and hypothetical, are included to provide additional applications of decision analysis.
- Real Options coverage has be added in the new Chapter 13, as requested by adopters.
- The former Chapter 6 on Creativity has been replaced by a new chapter on organizational decision making, as requested by adopters and reviewers.
- 12 new cases have been added from the respected Darden School at the University of Virginia. References, screenshots, examples, exercises, and problems have been updated to provide students with the newest information.
- Chapters 8, 4, 15, and 6 have been updated to reflect the latest trends in the psychology of judgment and decision making.
1. Introduction to Decision Analysis.
SECTION I: MODELING DECISIONS.
2. Elements of Decision Problems.
3. Structuring Decisions.
4. Making Choices.
5. Sensitivity Analysis.
6. Organizational Decision Making.
SECTION II: MODELING UNCERTAINTY.
7. Probability Basics.
8. Subjective Probability.
9. Theoretical Probability Models.
10. Using Data.
11. Monte Carlo Simulation.
12. Value of Information.
13. Real Options.
SECTION III. MODELING PREFERENCES.
14. Risk Attitudes.
15. Utility Axioms, Paradoxes, and Implications.
16. Conflicting Objectives I: Fundamental Objectives and the Additive Utility Function.
17. Conflicting Objectives II: Multiattribute Utility Models with Interactions
18. Conclusions and Further Reading.
SECTION I: MODELING DECISIONS.
2. Elements of Decision Problems.
3. Structuring Decisions.
4. Making Choices.
5. Sensitivity Analysis.
6. Organizational Decision Making.
SECTION II: MODELING UNCERTAINTY.
7. Probability Basics.
8. Subjective Probability.
9. Theoretical Probability Models.
10. Using Data.
11. Monte Carlo Simulation.
12. Value of Information.
13. Real Options.
SECTION III. MODELING PREFERENCES.
14. Risk Attitudes.
15. Utility Axioms, Paradoxes, and Implications.
16. Conflicting Objectives I: Fundamental Objectives and the Additive Utility Function.
17. Conflicting Objectives II: Multiattribute Utility Models with Interactions
18. Conclusions and Further Reading.