Managerial Decision AnalysisCRC Press, 1992 M05 19 - 743 pages This text focuses on how decision analysis can be used to support the managerial decision process. It supports professors and students in the classroom with extensive case studies and problem sets, and with Arborist software and documentation. |
Contents
Chapter One Introduction to Decision Modeling | 1 |
Normal Prior Distribution | 347 |
Chapter Eleven The Value of Information | 410 |
Chapter Twelve Implementation of Decision Analysis | 462 |
Chapter Thirteen Behavioral Aspects of Decision Analysis | 504 |
Chapter Fourteen Decision Support Systems | 532 |
Analysis Influence Diagrams The Analytic Hierarchy Process AHP | 553 |
Arborist | 569 |
Chapter Two The Decision Analysis Approach 20 | 20 |
Chapter Three Decision Model Structuring 55 | 55 |
Chapter Four Probability Assessment 100 | 100 |
Chapter Five Choosing between Alternatives 142 | 142 |
Chapter Seven Multiattributed Utility Functions 229 | 229 |
Chapter Eight Sensitivity Analysis 268 | 268 |
Chapter Nine Simulation in Decision Analysis 303 | 303 |
Chapter Ten Revision of Probabilities 347 | 347 |
Index | 741 |
OBJECTIVES | xi |
Understand the various sources of and decision support | 3 |
Chapter Fifteen Complementary Decision Analysis Aids 553 | 553 |
Common terms and phrases
alternative analyze approach Arborist batch Bayes Theorem branch calculate cash flows certainty equivalent chance event nodes Chapter choice command complex consider cost deci decision analysis decision analysis models decision elements decision maker decision model decision problems decision process decision rule decision strategy decision support decision tree defined dimensions of value displayed estimate EVPI example expected utility expected value rule exponential utility Figure Focus window forecast formula fractile gamble graph important influence diagrams inputs insight investment involves likelihood manager market share methods million option outcomes parameters payoffs perfect information possible posterior probabilities preference press RETURN prior probabilities probabilistic probability distribution procedure profit Raiffa represent result risk analysis risk aversion sample sensitivity analysis sources of uncertainty specific stochastic dominance Subtree Table tion uncertain quantity utility function various
References to this book
Handbook of Design, Manufacturing and Automation Richard C. Dorf,Andrew Kusiak No preview available - 1994 |