Quantitative methods for business. / by Anderson, David R. ]et al.]

Contributor(s): Anderson, David RMaterial type: TextTextPublisher: London: South-Western, 2013Edition: 12th edDescription: xiv, 880 p.: illISBN: 9781133584469; 1133584462Subject(s): Management science--TextbooksLOC classification: HD30.25.W29
Contents:
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 --
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Books Books WISCONSIN INTERNATIONAL UNIVERSITY COLLEGE, GHANA KUMASI LIBRARY
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WISCONSIN INTERNATIONAL UNIVERSITY COLLEGE, GHANA KUMASI LIBRARY
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Books Books WISCONSIN INTERNATIONAL UNIVERSITY COLLEGE, GHANA KUMASI LIBRARY
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WISCONSIN INTERNATIONAL UNIVERSITY COLLEGE, GHANA KUMASI LIBRARY
HF5691.Q171(12e) (Browse shelf) 2 Available K/686/686/19

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 --

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