Sale!

An Introduction to Management Science: Quantative Approaches to Decision Making (2nd Edition)- PDF

eBook details

  • Author: Thomas Arthur Williams, Dennis Sweeney, David Anderson, Mik Wisniewski
  • File Size: 11 MB
  • Format: PDF
  • Length: 708 pages
  • Publisher: Cengage Learning; 2nd Edition
  • Publication Date: 2014
  • ASIN: B01MYMGH30
  • ISBN-10: 1408088401
  • ISBN-13: 9781408088401

Original price was: $21.80.Current price is: $4.00.

We're processing your payment...
Please DO NOT close this page!

- OR -
SKU: introduction-to-management-science-quantative-approaches-to-decision-making-2nd-edition-ebook Categories: , , ,

About The Author

David Anderson

David Anderson

Dr. David A. Anderson earned his B.A. at the University of Michigan and his M.A. and Ph.D. at Duke University. David is currently the Paul G. Blazer Professor of Economics at Centre College. His scholarly articles address the valuation of environmental assets, the cost of crime, natural resource dispute resolution, and the determinants of municipal solid waste, among other topics.
David R. Anderson

David R. Anderson

Dr. David Anderson is a leading author and Professor Emeritus of Quantitative Analysis in the College of Business Administration at the University of Cincinnati (USA). He has served as Associate Dean of the College of Business Administration and also as head of the Department of Quantitative Analysis and Operations Management and He was also coordinator of the college's first Executive Program.

In addition to introductory statistics for business students, David has taught graduate-level courses in multivariate analysis, regression analysis and management science. He also has taught statistical courses at the Department of Labor in Washington, D.C. He has received numerous honors for excellence in teaching and service to student organizations. Dr. Anderson is the co-author of 10+ 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 B.S., M.S. and Ph.D. degrees from Purdue University.

Mik Wisniewski

Thomas A. Williams

Thomas A. Williams

Dr. Thomas A. Williams is a very well-respected author and Professor Emeritus 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 has taught courses in statistics and management sciences, as well as graduate courses in regression and decision analysis. Before joining the College of Business at RIT, Tom served for 7 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 served as its coordinator. The co-author of 11 leading textbooks in the areas of management science, production and operations management, statistics, 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.

The 2nd edition of this highly-regarded eBook, Introduction to Management Science, 2nd Edition (PDF), is now available for students studying in Europe, the Middle East, UK, and Africa. The newer version follows an application-driven approach and is strengthened and streamlined to accommodate the needs of modern-day students. Scottish and Saudi Arabian examples further enrich this edition.
Operations research and management options have never been more exciting and accessible. The Anderson, Williams, and Sweeney team present varied and realistic examples to provide students with a comprehensive foundation in the field.
Contact us if you need Management Science 2e Test Bank or other instructor resources.
Note: The product only includes the PDF eBook:Introduction to Management Science, 2nd Edition. Access codes are not included.

Reviews

There are no reviews yet.

Be the first to review “An Introduction to Management Science: Quantative Approaches to Decision Making (2nd Edition)- PDF”