Quantitative Methods for Business
by David Ray Anderson (Author), David Ray Anderson (Author), Dennis J. Sweeney (Author), Thomas Arthur Williams (Author)
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Used
Hardcover
1994
$7.98
This popular text combines the authors application-oriented pedagogy (problem-scenario approach, QM in Action, Quantitative Methods in Practice, Notes and Comments) with coverage of standard management science topics. It covers probability, decision theory, and forecasting first, followed by material on linear programming. The text then continues with a variety of widely-used quantitative models. It includes two chapters on inventory (dependent demand and independent demand). Spreadsheet printouts have been added to each chapter, with nine appendicies to demonstrate how spreadsheets can be used in quantitative analysis. Does not cover networks or calculus-based, Markov, or dynamic programming.
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Used
Paperback
2007
$7.75
This revision of QUANTITATIVE METHODS FOR BUSINESS provides students with a conceptual understanding of the role that quantitative methods play in the decision-making process. This 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, this text is applications-oriented. Its Problem-Scenario Approach motivates and helps students understand and apply mathematical concepts and techniques. In addition, the managerial orientation motivates students by using examples that illustrate situations in which quantitative methods are useful in decision making.
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Used
Hardcover
2000
$3.49
This revised edition provides students with a conceptual understanding of the role that quantitative methods play in the decision-making process. This 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, this text is applications-oriented. Its Problem-Scenario Approach motivates and helps students understand and apply mathematical concepts and techniques. In addition, the managerial orientation motivates students by using examples that illustrate situationsin which quantitative methods are useful in decision making.
Synopsis
This popular text combines the authors application-oriented pedagogy (problem-scenario approach, QM in Action, Quantitative Methods in Practice, Notes and Comments) with coverage of standard management science topics. It covers probability, decision theory, and forecasting first, followed by material on linear programming. The text then continues with a variety of widely-used quantitative models. It includes two chapters on inventory (dependent demand and independent demand). Spreadsheet printouts have been added to each chapter, with nine appendicies to demonstrate how spreadsheets can be used in quantitative analysis. Does not cover networks or calculus-based, Markov, or dynamic programming.