Quantitative Methods for Business 13e Anderson EBOOK PDF Instant Download


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Quantitative Methods for Business 13e David R. Anderson, University of Cincinnati Dennis J. Sweeney, University of Cincinnati Thomas A. Williams, Rochester Institute of Technology Jeffrey D. Camm, Wake Forest University James J. Cochran, University of Alabama Michael J. Fry, University of Cincinnati Jeffrey W. Ohlmann, University of Iow EBOOK PDF Instant Download

Table of contents

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.