Jeffrey D Camm

Jeffrey D CammJeffrey D. Camm is the Inmar Presidential Chair of Analytics and Senior Associate Dean of Business Analytics programs in the School of Business at Wake Forest University. Born in Cincinnati, Ohio, he holds a B.S. from Xavier University (Ohio) and a P.D. from Clemson University. Prior to joining the faculty at Wake Forest, Dr. Camm served on the faculty of the University of Cincinnati. He has also been a visiting scholar at Stanford University and a visiting professor of business administration at the Tuck School of Business at Dartmouth College. Dr. Camm has published more than 45 papers in the general area of optimization applied to problems in operations management and marketing. He has published his research in Science, Management Science, Operations Research, Interfaces and other professional journals. Dr. Camm was named the Dornoff Fellow of Teaching Excellence at the University of Cincinnati and he was the recipient of the 2006 INFORMS Prize for the Teaching of Operations Research Practice. A firm believer in practicing what he preaches, he has served as an operations research consultant to numerous companies and government agencies. From 2005 to 2010, Dr. Camm served as editor-in-chief of INFORMS Journal of Applied Analytics (formerly Interfaces). In 2017, he was named an INFORMS fellow. Read More Read Less

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Quantitative Methods for Business71 % NR
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Essentials of Statistics for Business and Economics (Book Only)64 %
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Essentials of Modern Business Statistics with Microsoft? Excel?68 % NR
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Modern Business Statistics with Microsoft ExcelNR
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An Introduction to Management Science64 %
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Modern Business Statistics With Microsoft Office Excel64 %
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Statistics for Business & Economics (with XLSTAT Education Edition Printed Access Card)49 %
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Data Duped38 % NR
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Statistics for Business and EconomicsNR
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Introduction to Management Science69 % NR
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Data Visualization75 % NR
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Business Analytics8 % NR
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Essentials of Statistics for Business & Economics62 % NR
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Statistics for Business & Economics, 13E25 %
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An Introduction to Management Science Quantitative Approaches to Decision Making, 14E23 %
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