Ch. 1. Introduction -- Ch. 2. Introduction to probability -- Ch. 3. Probability distributions -- Ch. 4. Decision analysis -- Ch. 5. Utility and game theory -- Ch. 6. Forecasting -- Ch. 7. Introduction to linear programming -- Ch. 8. Linear programming : sensitivity analysis and interpretation of solution -- Ch. 9. Linear programming applications -- Ch. 10. Transportation, assignment, and transshipment problems -- Ch. 11. Integer linear programming -- Ch. 12. Project scheduling : PERT/CPM -- Ch. 13. Inventory models -- Ch. 14. Waiting line models -- Ch. 15. Simulation -- Ch. 16. Markov processes -- Ch. 17. Multicriteria decisions -- App. A. Binomial probabilities -- App. B. Poisson probabilities -- App. C. Areas for the standard normal distribution -- App. D. Values of e[superscript -[lambda]] -- App. E. References and bibliography -- App. F. Self-test solutions and answers to even-numbered problems.

"Quantitative Methods for Business uses language and applications you can comprehend to define concepts and illustrate how quantitative methods and statistics apply to the decision-making process. The text features a straight-forward "Problem-Scenario Approach" that motivates and helps you understand and apply quantitative methods."--BOOK JACKET.