Quantitative methods for business - Anderson, David R.; Sweeney, Dennis J. ;Williams, Thomas A ;Camm, Jeffrey D ;Martin, Kipp (Australia : South-Western/ Cengage Learning, 2013)
Preface xvii -- Chapter 1 Introduction 1 -- Chapter 2. Introduction to Probability 29 -- Chapter 3. Probability Distributions 59 -- Chapter 4. Decision Analysis 97 -- Chapter 5. Utility and Game Theory 154 -- Chapter 6. Forecasting 181 -- Chapter 7. Introduction to Linear Programming 234 -- Chapter 8. Linear Programming: Sensitivity Analysis and Interpretation of Solution 295 -- Chapter 9. Linear Programming Applications in Marketing, Finance, and Operations Management 357 -- Chapter 10. Distribution and Network Models 418 -- Chapter 11. Integer Linear Programming 478 -- Chapter 12. Advanced Optimization Applications 526 -- Chapter 13. Project Scheduling: PERT/CPM 570 -- Chapter 14. Inventory Models 607 -- Chapter 15. Waiting Line Models 655 -- Chapter 16. Simulation 695 -- Chapter 17. Markov Processes 755 -- Appendixes A-G 780 -- Index 868.
David R. Anderson, University of Cincinnati, Dennis J. Sweeney, University of Cincinnati, Thomas A. Williams, Rochester Institute of Technology, Jeffrey D. Camm, University of Cincinnati, Kipp Martin, University of Chicago.
Includes bibliographical references and index.
Keywords: MANAGEMENT SCIENCE