Quantitative methods for business - Anderson, David R. (Mason, OH : South-Western, Cengage Learning, 2013)
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. Lienar 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. Simulatiib -- Chapter 17. Markov processes -- Appendix A. Building spreadsheet models -- Appendix B. Binonial probabilities -- Appendix C. Poisson probabilities -- Appendix D. Areas for the standard normal distribution -- Appendix E. Values of e -- Appendix F. References and bibliography -- Appendix G. Self-test solutions and answers to even-numbered problems.
Includes index.
Keywords: Management science