This text combines the studies of probability and statistics with management science to explore quantitative methods and models for management and business. Bertsimas and Freund (management science and operations research, MIT) focus on modeling, understanding the dynamic nature of decision making, using data and limited information effectively, and allocating scare resources. Case examples and spreadsheets throughout the text provide models for working through the problems presented. Annotation c. Book News, Inc., Portland, OR (booknews.com)

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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