The Science of Decision Making: A Problem-Based Introduction Using Excel, is a comprehensive, coherent, problems-based approach to learning the science of decision-making. It includes models of operations research for engineering, management, ecomomics and the sciences.
Intended for undergraduate and master's level students in engineering, management, economics, and the sciences taking courses in Operations Research, Introduction to Deterministic and Stochastic Methods, Management Science, Linear Programming, and Probabilistic Models.
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Educated at Princeton and Northwestern Universities, Eric V. Denardo worked for AT&T and The Rand Corporation before joining the faculty of Yale University. His work is noted for its breadth, innovation, and elegance.
Learn how to model and solve real decision-making problems using Excel.
This book is a practical, accessible, engaging, and deeply penetrating introduction to the science of decision making. It is a successful fusion of problem-based learning and spreadsheet computation with decision science. It surveys the modfels of operations research and of probability.
As you work through the problems within the chapters, you will acquire a potent set of tools for solving problems, and you'll see how to make practical use of them. You will find examples from engineering, economics, finance, operations management, business, medical decision making, and the sciences. You will see how to use the methodology in a variety of academic disciplines and career paths.
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Condizione: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. Clean from markings. In good all round condition. Library sticker on front cover. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,1800grams, ISBN:9780471318279. Codice articolo 8959902
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Condizione: New. This text is a coherent account of the science of decision making. It includes the models of operations research and those models of probability that relate to decision making. An emphasis in placed between these connections and relates these models to nearly all of the professions. Num Pages: 720 pages, Ill. BIC Classification: GPQ; KJMD; PBT; PBUH. Category: (G) General (US: Trade); (P) Professional & Vocational; (UU) Undergraduate. Dimension: 278 x 210 x 38. Weight in Grams: 1622. . 2001. 1st Edition. Paperback. . . . . Codice articolo V9780471318279
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Paperback. Condizione: new. Paperback. The Science of Decision Making: A Problem-Based Introduction Using Excel, is a comprehensive, coherent, problems-based approach to learning the science of decision-making. It includes models of operations research for engineering, management, ecomomics and the sciences. Intended for undergraduate and master's level students in engineering, management, economics, and the sciences taking courses in Operations Research, Introduction to Deterministic and Stochastic Methods, Management Science, Linear Programming, and Probabilistic Models. This text is a coherent account of the science of decision making. It includes the models of operations research and those models of probability that relate to decision making. An emphasis in placed between these connections and relates these models to nearly all of the professions. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Codice articolo 9780471318279
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