Quantitative methods for business / by David R. Anderson, Dennis J. Sweeney, Thomas A. Williams, Jeffrey D. Camm, James J. Cochran, Michael J. Fry, and Jeffrey W. Ohlmann.
Material type:
TextPublisher: Taguig City, Philippines : Cengage Learning, c2017Edition: 13th editionDescription: xxii, 914 pages : illustrations (black and white) ; 25 cmContent type: text Media type: unmediated Carrier type: volume ISBN: 9789814780490 [newsprint]Subject(s): Qualitative methods| Item type | Current location | Call number | Status | Date due | Barcode |
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Subject Reference
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College Library Subject Reference | 650.0151 An23 2017 (Browse shelf) | Available | 3UCBL000029143 |
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Includes index.
Contents: Chapter 1 Introduction -- Chapter 2 Introduction to probability -- Chapter 3 Probability distributions -- Chapter 4 Decision analysis -- Chapter 5 Utility and game theory -- Chapter 6 Time series analysis and forecasting -- Chapter 7 Introduction to linear programming -- Chapter 8 Linear programming: sensitivity analysis and interpretation of solution -- Chapter 9 Linear programming applications in marketing, finance, and operations management -- Chapter 10 Distribution and network models -- Chapter 11 Integer linear programming -- Chapter 12 Advanced optimization applications -- Chapter 13 Project scheduling: PERT/CPM -- Chapter 14 Inventory models -- Chapter 15 Waiting line models -- Chapter 16 Simulation -- Chapter 17 Markov processes.
"The purpose of this thirteenth edition, as with previous editions, is to provide andereriduate and graduate students with a conceptual understanding of the role that quantitative methods play in the decision-making process. The text describes the many quantitative methods developed over the years, explains how they work, and shows how the decision maker can apply and interpret them.
This book is applications-oriented and uses our problem scenario approach to gently introduce quantitative material. In each chapter, a problem is described in conjunction with the quantitative procedure being introduced. Development of the quantitative technique or model includes applying it to the problem to generate a solution or recommendation. This approach can help to motivate the student by demonstrating not only how the procedure works, but also how it contributes to the decision-making process.
The mathematical prerequisite for this text is an algebra course. The two chapters on probability and probability distributions will provide the necessary background for the use of probability in subsequent chapters. Throughout the text we use generally accepted nota-tion for the topic being covered. As a result, students who pursue study beyond the level of this text will generally experience little difficulty reading more advanced material. To also assist in further study, a bibliography is included at the end of this book." --Preface
Adult
Donation Biore, Christopher College of Business and Accountancy Business / Management
Text in English
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