Quantitative Methods for Business (Hardcover)

~ David R. Anderson (Author), (Author), (Author)

Editorial Reviews

Product Description

This revision of the classic Quantitative Methods for Business provides readers with a conceptual understanding of the role that quantitative methods play in the decision-making process. This text describes the many quantitative methods that have been developed over the years, explains how they work, and shows how the decision-maker can apply and interpret data. Written with the non-mathematician in mind, this text is applications-oriented. Its Problem-Scenario Approach motivates and helps the reader to understand and apply mathematical concepts and techniques. In addition, the managerial orientation uses examples that illustrate situations in which quantitative methods are useful in decision making.

About the Author

David R. Anderson is Professor of Quantitative Analysis in the College of Business Administration at the University of Cincinnati. Born in Grand Forks, North Dakota, he earned his BS, MS, and PhD degrees from Purdue University. Professor Anderson has served as Head of the Department of Quantitative Analysis and Operations Management and as Associate Dean of the College of Business Administration. In addition, he was the coordinator of the College's first Executive Program. In addition to teaching 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 been honored with nominations and awards for excellence in teaching and excellence in service to student organizations. He has coauthored ten textbooks related to decision sciences and actively consults with businesses in the areas of sampling and statistical methods.

Dennis J. Sweeney is Professor of Quantitative Analysis and founder of the Center for Productivity Improvement at the University of Cincinnati. Born in Des Moines, Iowa, he earned BS and BA degrees from Drake University, graduating summa cum laude. He received his MBA and DBA degrees from Indiana University, where he was an NDEA Fellow. Dr. Sweeney has worked in the management science group at Procter & Gamble and has been a visiting professor at Duke University. Professor Sweeney served five years as Head of the Department of Quantitative Analysis and four years as Associate Dean of the College of Business Administration at the University of Cincinnati. He 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. Professor Sweeney has coauthored ten textbooks in the areas of statistics, management science, linear programming, and production and operations management.

Thomas A. Williams is Professor of Management Science in the College of Business at Rochester Institute of Technology (RIT). Born in Elmira, New York, he earned his BS degree at Clarkson University. He completed his graduate work at Rensselaer Polytechnic Institute, where he received his MS and PhD degrees. 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 first undergraduate program in Information Systems. At RIT he was the first chair of the Decision Sciences Department. Professor Williams is the coauthor of 11 textbooks in the areas of management science, statistics, production and operations management, and mathematics. He has been a consultant for numerous Fortune 500 companies in areas ranging from the use of elementary data analysis to the development of large-scale regression models. --This text refers to an alternate Hardcover edition.

Product Details

• Hardcover: 840 pages
• Publisher: South-Western Educational Publishing; 8th edition (May 12, 2000)
• Language: English
• ISBN-10: 0324044992
• ISBN-13: 978-0324044997
• Product Dimensions: 10.2 x 8.4 x 1.4 inches
• Shipping Weight: 4 pounds (View shipping rates and policies)
• Average Customer Review: 2.9 out of 5 stars  See all reviews (11 customer reviews)
• Amazon.com Sales Rank: #774,938 in Books (See Bestsellers in Books)

Customer Reviews

Most Helpful Customer Reviews

18 of 19 people found the following review helpful:

1.0 out of 5 stars ABSOLUTELY THE WORST TEXTBOOK FROM A STUDENT'S PERSPECTIVE, March 11, 2003

By A Customer

I am currently taking a Quant Meth class which is using this as the textbook. By far, this is the worst textbook I have ever encountered as a student. It is hard to understand and the answers that are given in the back do not explain how to get to the final solution. Because the problems are not paired (that is 1 is not like 2, 3 is not like 4, etc.) and the only answers are to the EVEN problems, you are basically lost. There is a website for the 9th edition that is "under construction" currently, so there is no help there. This is not a book conducive to learning. Teachers and colleges - PLEASE think twice before you choose this for your curriculum. Both you and your students will be miserable!

14 of 15 people found the following review helpful:

2.0 out of 5 stars Quantitative Methods 8th Edition, January 31, 2002

By	Robin Schaffer (PArkton, MD United States) - See all my reviews

I am a professor using this book to teach a graduate level Quantitative Methods math class. This book is hard to understand for the students. Exercises included at the end of the chapters are hard to figure for the student based on what is presented in the text alone.
For the instructor, no teacher support is available except a solutions manual. All other texts I have used provides sample lecture material, additional cases, etc. This text provides no such support with a useless web site.

9 of 11 people found the following review helpful:

1.0 out of 5 stars This textbook is TERRIBLE!, October 1, 2005

By	Jones "itimbuktu" (Columbia, MD United States) - See all my reviews

This review is from: Quantitative Methods for Business with EasyQuant Tutor for Excel (Hardcover)

This book is written in unnecessarily complicated language and does not present information in a way that is easily understood. I teach graduate courses in quantitative methods and I made the mistake of ordering this book for one of my courses without reading it first. It was a disaster!

Unless you are getting a doctorate and need to know lots of complicated formulas without adequate explanations, DO NOT buy this book.