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Textbook
The Science of Decision Making: A Problem-Based Approach Using ExcelISBN: 978-0-471-31827-9
Paperback
720 pages
August 2001, ©2002
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Preface.
PART A: INTRODUCTION.
The Science of Decision Making.
Getting Started with Spreadsheets.
PART B: USING LINEAR PROGRAMS.
Analyzing Solutions of Linear Programs.
A Survey of Linear Programs.
Networks.
Integer Programs.
PART C: PROBABILITY FOR DECISION MAKING.
Introduction to Probability Models.
Discrete Random Variables.
Decision Trees and Generalizations.
Utility Theory and Decision Analysis.
Continuous Random Variables.
PART D: STOCHASTIC SYSTEMS.
Inventory.
Markov Chains.
Queueing.
Simulation.
PART E: GAME THEORY.
Game Theory.
PART F: SOLVING LINEAR PROGRAMS.
Solving Linear Equations.
The Simplex Method.
Duality.
Appendix: Note on Excel.
Index.
PART A: INTRODUCTION.
The Science of Decision Making.
Getting Started with Spreadsheets.
PART B: USING LINEAR PROGRAMS.
Analyzing Solutions of Linear Programs.
A Survey of Linear Programs.
Networks.
Integer Programs.
PART C: PROBABILITY FOR DECISION MAKING.
Introduction to Probability Models.
Discrete Random Variables.
Decision Trees and Generalizations.
Utility Theory and Decision Analysis.
Continuous Random Variables.
PART D: STOCHASTIC SYSTEMS.
Inventory.
Markov Chains.
Queueing.
Simulation.
PART E: GAME THEORY.
Game Theory.
PART F: SOLVING LINEAR PROGRAMS.
Solving Linear Equations.
The Simplex Method.
Duality.
Appendix: Note on Excel.
Index.
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