000			02109nam a22002537a 4500
999			_c1264 _d1264
005			20210901113115.0
008			210901b ||||| |||| 00| 0 eng d
020			_a9788131518960
082			_a658.4033 _bAND
100			_aAnderson, David R. _91043
245			_aQuantitative methods for business
250			_a12th
260			_bCengage Learning India Pvt. Ltd. _aNew Delhi _c2013
300			_axxv, 880 p.
365			_aINR _b725.00
504			_a'1. Introduction. 2. Introduction to Probability. 3. Probability Distributions. 4. Decision Analysis. 5. Utility and Game Theory. 6. 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. Appendixes A-G. Index.
520			_a'Provide your students with a strong conceptual understanding of the critical role that quantitative methods play in today's decision-making process with the well-respected QUANTITATIVE METHODS FOR BUSINESS, 12E, by award-winning authors Anderson/Sweeney/Williams/Camm/Martin. This text describes the many quantitative methods that have been developed over the years, explains how they work, and shows how the decision-maker can apply and interpret data. Written with the non-mathematician in mind, this text is applications-oriented. Its "Problem-Scenario Approach" motivates and helps students understand and apply mathematical concepts and techniques. In addition, the managerial orientation motivates students by using examples that illustrate situations in which quantitative methods are useful in decision making.
650			_aManagement science _9754
650			_aQuantitative Methods _9729
700			_aCamm, Jeffrey D. _93573
700			_aSweeney, Dennis J. _91047
700			_aWilliams, Thomas A. _93574
942			_2ddc _cBK