Description
Book SynopsisThis 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.
Table of ContentsPreface.
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.
