Quantitative Business Analysis

(Second Edition)
By Ron Davis
©2015, 190 pages

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Quantitative Business Analysis

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    Quantitative Business Analysis is designed for a one semester introductory course in management science that is an undergraduate core requirement in the business curriculum at San Jose State University. The principal topics covered are network models, linear programming, decision analysis, and PERT Monte Carlo simulation. It could also be used in an MBA curriculum.

    With outstanding video Excel demos that show spreadsheet developments for topics in the book, the text enables students to dive into practical examples using advanced algorithms. With specifics examples like the correct beta shape parameter formulas for use with PERT Monte Carlo simulation analysis, the accompanying videos are an amazing resource.

    A unique feature of the book is the presentation an of the correct beta shape parameter formulas for use with PERT Monte Carlo simulation analysis. The beta shape parameter formulas are currently not available in any other management science text since they have only recently appeared in the open literature. See the author’s paper at http://www.informs.org/content/download/101615/874705/file/1532-0545-2008-08-03-0139.pdf for details.

    Dr. Davis earned a B.A. degree from Harvard College (1967) and graduated magna cum laude with highest honors. Dr Davis was awarded an NSF Graduate Fellowship to pursue a Ph.D. in Mathematics at Stanford University where he studied under the guidance of Professor George B. Dantzig, the (American) father of the simplex method. He received the M.S. degree in 1969 and the Ph.D. degree in 1980, both from Stanford University. He joined the San Jose State University (SJSU) College of Business faculty in 1987 and serves as Chair of the Decision Sciences Curriculum Committee within the Marketing and Decision Sciences Department. He may be reached at ronald.davis@sjsu.edu.
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