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.)1. Introduction SECTION I - MODELING DECISIONS 2. Elements of Decision Problems 3. Structuring Decisions 4. Making Choices 5.
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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.)1. Introduction SECTION I - MODELING DECISIONS 2. Elements of Decision Problems 3. Structuring Decisions 4. Making Choices 5. Sensitivity Analysis 6. Creativity and Decision Structuring 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 SECTION III - MODELING PREFERENCES 13. Risk Attitude 14. Utility Axioms, Paradoxes, and Implications 15. Conflicting Objectives I: Some Basic Techniques 16. Conflicting Objectives II: Multiattribute Utility Models 17. Conclusion and Further Reading Appendixes
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