Quantitative Methods for Business

ISBN-10: 0840062338

ISBN-13: 9780840062338

Edition: 12th 2013

List price: $366.95
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Description:

You don't need to be a mathematician to understand and maximize the power of quantitative methods! Written for the future business professional, QUANTITATIVE METHODS FOR BUSINESS, 12E by a powerhouse, award-winning author team, makes it easy for you to understand how you can most effectively use quantitative methods to make smart, successful decisions. The book's hallmark problem-scenario approach guides you through the application of mathematical concepts and techniques. The authors use real, memorable examples to demonstrate how and when to use the methods found in the text. Discover everything you need for success in working with quantitative methods and for success in your course, including instant online access to Excel worksheets, TreePlan, Crystal Ball, Premium Solver for Excel, and LINGO.
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Book details

List price: $366.95
Edition: 12th
Copyright year: 2013
Publisher: Cengage South-Western
Publication date: 2/14/2012
Binding: Hardcover
Pages: 936
Size: 8.25" wide x 10.25" long x 1.50" tall
Weight: 4.048
Language: English

Dr. Jeffrey W. Ohlmann is Associate Professor of Management Sciences in the Tippie College of Business at the University of Iowa. He earned a B.S. from the University of Nebraska and M.S. and Ph.D. degrees from the University of Michigan. He has served at the University of Iowa since 2003. . Professor Ohlmann's research on the modeling and solution of decision-making problems has produced over a dozen research papers in journals such as Mathematics of Operations Research, INFORMS Journal on Computing, Transportation Science, and Interfaces. He has collaborated with companies such as Transfreight, LeanCor, Cargill, the Hamilton County Board of Elections, and the Cincinnati Bengals. Due to the relevance of his work to industry, he was bestowed the George B. Dantzig Dissertation Award and was recognized as a finalist for the Daniel H. Wagner Prize for Excellence in Operations Research Practice.

Dr. Jeffrey D. Camm is Professor of Quantitative Analysis and head of the Department of Quantitative Analysis and Operations Management at the University of Cincinnati, where he has been since 1984. He also has served as 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 30 papers in the general area of optimization applied to problems in operations management, and his research has been funded by the Air Force Office of Scientific Research, The Office of Naval Research, and the U.S. Department of Energy. Among his honors, he was named the Dornoff Fellow of Teaching Excellence and received the 2006 INFORMS Prize for the Teaching of Operations Research Practice. Dr. Camm currently serves as editor-in-chief of INTERFACES and is on the editorial board of INFORMS TRANSACTIONS ON EDUCATION. He received his PhD in Management Science from Clemson University.

Stephen Stoker of Weber State University in Ogden, UT, has taught the gamut of introductory chemistry courses, specializing in GOB, for the past 30 years. Weber State has a very large Health Professions school, and GOB is geared at students with little or no experience in chemistry (notably Allied Health and Nursing majors).Dr. David R. Anderson is a textbook author and Professor Emeritus of Quantitative Analysis in the College of Business Administration at the University of Cincinnati. He has served as head of the Department of Quantitative Analysis and Operations Management and as Associate Dean of the College of Business Administration. He was also coordinator of the College's first Executive Program. In addition to introductory statistics for business students, Dr. Anderson has taught graduate-level courses in regression analysis, multivariate analysis, and management science. He also has taught statistical courses at the Department of Labor in Washington, D.C. Professor Anderson has received numerous honors for excellence in teaching and service to student organizations. He is the coauthor of ten textbooks related to decision sciences and actively consults with businesses in the areas of sampling and statistical methods. Born in Grand Forks, North Dakota, he earned his BS, MS, and PhD degrees from Purdue University.

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