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Quantitative methods for business / David R. Anderson, Dennis J. Sweeney, Thomas A. Williams.

By: Contributor(s): Material type: TextTextLanguage: English Publication details: New Delhi : Cengage Learning , c2006.Edition: 10th edDescription: xviii, 822 p. : ill. (some col.) ; 26 cmISBN:
  • 0324312652
  • 8131503089
  • 9788131503089
Subject(s): DDC classification:
  • 23 658.4 ANQ 2006
Contents:
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.
Review: "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.
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Holdings
Item type Current library Call number Status Notes Date due Barcode
Books Books Eastern University Library General Stacks 658.4 ANQ 2006 (Browse shelf(Opens below)) Not For Loan Dhanmondi Library 10113

Includes index.

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.

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