The Science of Decision Making
A Problem-Based Approach Using Excel
1. Edition September 2001
VIII, 712 Pages, Softcover
Wiley & Sons Ltd
ISBN:
978-0-471-31827-9
John Wiley & Sons
Short Description
This text is a coherent account of the science of decision making. It includes the models of operations research and those models of probability that relate to decision making. An emphasis in placed between these connections and relates these models to nearly all of the professions.
Provides the reader with a perspective on the efficient operation of complicated systems.
* Spreadsheets are used to employ and teach techniques.
* Includes the facets of probability that relate to decision making.
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.
