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This revision of the classic Quantitative Methods for Business is designed to provide students with a conceptual understanding of the role that quantitative methods play in the decision making process. The text describes the many quantitative methods that have been developed over the years, explains how they work, and shows how the decision maker can apply and interpret data. Written with the non-mathematician in mind, it is applications oriented, In each chapter a problem is described in conjunction with the quantitative procedure being introduced. This approach motivates the student by demonstrating how the procedure works and how it contributes to the decision-making process.
David R. Anderson is Professor of Quantitative Analysis in the College of Business Administration at the University of Cincinnati Dennis J. Sweeney is Professor of Quantitative Analysis and Director of the Center for Productivity Improvement at the University of Cincinnati Thomas A. Williams is Professor of Management Science in the College of Business at Rochester Institute of Technology
Table of Contents
Chapter 1 Introduction
Chapter 2 Introduction to Probability
Chapter 3 Probability Distributions
Chapter 4 Decision Analysis
Chapter 5 Utility and Decision Making
Chapter 6 Forecasting
Chapter 7 Linear Programming: The Graphical Method
Chapter 8 Linear Programming: Formulation, Computer Solution, and Interpretation
Chapter 9 Linear Programming Applications
Chapter 10 Transportation, Assignment, and Transshipment Problems