Data, Models, and Decisions: The Fundamentals of Management Science (Hardcover)

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Product Description

The book combines topics from two traditionally distinct quantitative subjects: probability/statistics and optimization models, into one unified treatment of quantitative methods and models for management and business. The book stresses those fundamental concepts that are most important for the practical analysis of management decisions: modeling and evaluating uncertainty explicitly, understanding the dynamic nature of decision-making, using historical data and limited information effectively, simulating complex systems, and allocating scarce resources optimally.

About the Author

Dimitris Bertsimas is the Boeing Professor at the MIT Sloan School of Management. He has been teaching quantitative methods to MBAs for 10 years. He has published one other book, Introduction to Linear Optimization, Athena Scientific Press, 1997, co-authored with John Tsitsiklis. He has won numerous scholarly awards for his research in combinatorial optimization, stochastic processes, and applied modeling, including the Presidential Young Investigator award from the National Science Foundation, the Erlang prize for best applied probabilist, and SIAM's optimization prize for best paper in optimization.

Product Details

• Hardcover: 672 pages
• Publisher: South-Western College Pub; 1 edition (February 28, 2000)
• Language: English
• ISBN-10: 0538859067
• ISBN-13: 978-0538859066
• Product Dimensions: 10.3 x 8.3 x 1.1 inches
• Shipping Weight: 3 pounds
• Average Customer Review: No customer reviews yet. Be the first.
• Amazon.com Sales Rank: #1,122,957 in Books (See Bestsellers in Books)