Provide students with a strong conceptual understanding of the role of quantitative methods role in decision-making as this applications-oriented, managerial-focused text explains how quantitative methods work and how to apply and interpret data. INDICE: 1. Introduction..2. Introduction to Probability..3. Probability Distributions..4. Decision Analysis..5. Utility and Game Theory..6. Time Series Analysis and Forecasting..7. Introduction to Linear Programming..8. Linear Programming: Sensitivity Analysis and Interpretation of Solution..9. Linear Programming Applications in Marketing, Finance, and Operations Management..10. Distribution and Network Models..11. Integer Linear Programming..12. Advanced Optimization Applications..13. Project Scheduling: PERT/CPM..14. Inventory Models..15. Waiting Line Models..16. Simulation..17. Markov Processes..Appendix A: Building Spreadsheet Models..Appendix B: Binomial Probabilities..Appendix C: Poisson Probabilities..Appendix D: Areas for the Standard Normal Distribution..Appendix E: Values for e-¿..Appendix F: References and Bibliography..Appendix G: Self-Test Solutions and Answers to Even-Numbered Problems.
- ISBN: 978-0-8400-6233-8
- Editorial: Aris & Philips
- Encuadernacion: Rústica
- Páginas: 912
- Fecha Publicación: 15/03/2012
- Nº Volúmenes: 1
- Idioma: Inglés