Quantitative methods for business. / by Anderson, David R. ]et al.]
- 12th ed
- London: South-Western, 2013.
- xiv, 880 p.: ill. ;
Includes index.
Contents: Introduction -- Introduction to probability -- Probability distributions -- Decision analysis -- Utility and game theory -- Forecasting -- Introduction to linear programming -- Linear programming : sensitivity analysis -- Linear programming applications in marketing , finance and operations management -- Distribution and network models -- Integer Linear programming -- Advanced optimization applications -- Project scheduling: PERT/CPM -- Inventory models -- Waiting line models -- Simulation -- Markov processes -- Appendix: Building spreadsheet models -- Binomial probabilities -- Poisson probabilities -- Areas for the standard normal distribution -- Values of e(-*) -- References and bibliography -- Self-test solutions --