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Synopsis
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.
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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.
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Data, Models, and Decisions: The Fundamentals of Management Science
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