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Quantitative Methods for Business (with Printed Access Card), by David R. Anderson, Dennis J. Sweeney, Thomas A. Williams, Jeffrey D. Camm
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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.
- Sales Rank: #83696 in Books
- Brand: Brand: Cengage Learning
- Published on: 2012-02-14
- Original language: English
- Number of items: 1
- Dimensions: 1.60" h x 8.00" w x 10.00" l, 4.00 pounds
- Binding: Hardcover
- 936 pages
- Used Book in Good Condition
About the Author
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.
Dr. Dennis J. Sweeney is a textbook author, Professor Emeritus of Quantitative Analysis and founder of the Center for Productivity Improvement at the University of Cincinnati. He also served five years as head of the Department of Quantitative Analysis and four years as Associate Dean of the College of Business Administration. In addition, he has worked in the management science group at Procter & Gamble and has been a visiting professor at Duke University. Professor Sweeney has published more than 30 articles in the area of management science and statistics. The National Science Foundation, IBM, Procter & Gamble, Federated Department Stores, Kroger, and Cincinnati Gas & Electric have funded his research, which has been published in MANAGEMENT SCIENCE, OPERATIONS RESEARCH, MATHEMATICAL PROGRAMMING, DECISION SCIENCES, and other journals. Dr. Sweeney is the coauthor of ten textbooks in the areas of statistics, management science, linear programming, and production and operations management. Born in Des Moines, Iowa, he earned a BS degree from Drake University, graduating summa cum laude. He received his MBA and DBA degrees from Indiana University, where he was an NDEA Fellow.
Dr. Thomas A. Williams is Professor of Management Science in the College of Business at Rochester Institute of Technology where he was the first chairman of the Decision Sciences Department. He teaches courses in management science and statistics, as well as graduate courses in regression and decision analysis. Before joining the College of Business at RIT, Professor Williams served for seven years as a faculty member in the College of Business Administration at the University of Cincinnati, where he developed the undergraduate program in Information Systems and then served as its coordinator. The co-author of 11 leading textbooks in the areas of management science, statistics, production and operations management, and mathematics, Professor Williams has been a consultant for numerous Fortune 500 companies and has worked on projects ranging from the use of data analysis to the development of large-scale regression models. He earned his B.S. degree at Clarkson University and completed his graduate work at Rensselaer Polytechnic Institute, where he received his M.S. and Ph.D. degrees.
Jeffrey D. Camm is the Inmar Presidential Chair and Associate Dean of Analytics in the School of Business at Wake Forest University. Born in Cincinnati, Ohio, he holds a B.S. from Xavier University (Ohio) and a Ph.D. from Clemson University. Prior to joining the faculty at Wake Forest, he was 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 over 30 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 2006 recipient of the 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 he served as editor-in-chief of interfaces.
James J. Cochran is Professor of Applied Statistics and the Rogers-Spivey Faculty Fellow in the Department of Information Systems, Statistics and Management Science at the University of Alabama. He previously served as Professor of Quantitative Analysis and the Bank of Ruston, Barnes, Thompson, & Thurman Endowed Research Professor at Louisiana Tech University and was a visiting scholar at Stanford University, Universidad de Talca, and the University of South Africa. Professor Cochran has published more than two dozen papers in the development and application of operations research and statistical methods, and his research has appeared in MANAGEMENT SCIENCE, THE AMERICAN STATISTICIAN, COMMUNICATIONS IN STATISTICS--THEORY AND METHODS, EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, JOURNAL OF COMBINATORIAL OPTIMIZATION, and other professional journals. He received the 2008 INFORMS Prize for the Teaching of Operations Research Practice and the 2010 Mu Sigma Rho Statistical Education Award. Dr. Cochran was elected to the International Statistics Institute in 2005 and named a Fellow of the American Statistical Association in 2011. A strong advocate for effective operations research and statistics education as a means of improving the quality of applications to real problems, he has organized and chaired teaching effectiveness workshops in Uruguay, South Africa, Colombia, India, Argentina, Kenya, Cameroon, and Croatia. He has served as a statistics and operations research consultant to numerous companies and not-for-profit organizations. He was editor-in-chief of INFORMS TRANSACTIONS ON EDUCATION from 2007 to 2012 and serves on the editorial board of INTERFACES, the JOURNAL OF QUANTITATIVE ANALYSIS IN SPORTS, and ORION. He holds a B.S., M.S., and MBA from Wright State University and a Ph.D. from the University of Cincinnati.
Most helpful customer reviews
8 of 11 people found the following review helpful.
Terrible text book
By Michael A. Maynard
The authors should be ashamed to write and publish such a terrible text book. It is slow reading due to
an over-reliance of formulas and under-reliance on explanations. You know the book is bad
when you can't get the same answers on the test questions provided. Few real-world examples. The best
polite word I can use for this book is turgid.
Quantitative Methods/Probability and Statistics should be fun and interesting. This book manages
to take all the fun and interest out of this subject. I took 4 years of Statistical Analysis as
an undergrad and got A+ grades. I can't figure out what the hell this book is saying and the subject
matter hasn't changed much at all.
Plus the use of Microsoft Excel is an additional burden. Excel is a horribly designed product. It was never
designed to do advanced probability and statistics. Trying to develop advanced and complex formulas in it is harder than it should be.
This book is a complete waste of time and money. In the class I'm taking, it's clear the professor didn't read the book before assigning it. That's a subject for another time.
1 of 1 people found the following review helpful.
Great
By Laurie Lopez
Great! The product was totally what I was expecting to get and I paid less than what I would have paid at the bookstore.
0 of 0 people found the following review helpful.
The book contains useful examples and was easy to use
By Mike Feld
The book contains useful examples and was easy to use. There are still some errors in the solutions to problems that were in previous additions and some spelling errors where "receipt" is spelled "receipt" and "reciept." It looks like someone proofread the text but not the tables and case studies. Overall, for learning quantitative methods it was a good book and I plan to keep it handy.
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