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Library | Item Barcode | Call Number | Material Type | Item Category 1 | Status |
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Searching... | 101522-1001 | T56 A53 1998 | Open Access Book | Book | Searching... |
Searching... | 30000004196766 | T56 A53 1998 | Open Access Book | Book | Searching... |
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Summary
Summary
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. The book has been 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. The authors have found that this approach helps to motivate the student by demonstrating not only how the procedure works, but also how it can contribute to the decision-making process.
Author Notes
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
1 Introduction |
2 Introduction to Probability |
3 Probability Distributions |
4 Decision Analysis |
5 Utility and Decision Making |
6 Forecasting |
7 An Introduction to Linear Programming |
8 Linear Programming: Sensitivity Analysis and Interpretation of Solution |
9 Linear Programming Applications |
10 Transportation, Assignment, and Transshipment Problems |
11 Integer Linear Programming |
12 Project Scheduling: PERT/CPM |
13 Inventory Models |
14 Waiting Line Models |
15 Simulation |
16 Markov Processes |
17 Multicriteria Decisions Appendixes A-F Index |