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Selected Colleen Hoover Books at €9.99c | In-store & Online
Selected Colleen Hoover Books at €9.99c | In-store & Online
A01=David Anderson
A01=Dennis Sweeney
A01=James Cochran
A01=Jeffrey Camm
A01=Jeffrey Ohlmann
A01=Michael Fry
A01=Thomas Williams
Age Group_Uncategorized
Age Group_Uncategorized
Author_David Anderson
Author_Dennis Sweeney
Author_James Cochran
Author_Jeffrey Camm
Author_Jeffrey Ohlmann
Author_Michael Fry
Author_Thomas Williams
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Category1=Non-Fiction
Category=KCHS
Category=KJC
COP=United States
Delivery_Delivery within 10-20 working days
Language_English
PA=Available
Price_€50 to €100
PS=Active
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Quantitative Methods for Business

You don't have to be a mathematician to maximize the power of quantitative methods. Written for the current-or future-business professional, QUANTITATIVE METHODS FOR BUSINESS, 13E 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 step by step through the application of mathematical concepts and techniques. Memorable real-life examples demonstrate how and when to use the methods found in the book, while instant online access provides you with Excel worksheets, LINGO, and the Excel add-in Analytic Solver Platform. The chapter on simulation includes a more elaborate treatment of uncertainty by using Microsoft Excel to develop spreadsheet simulation models. The new edition also includes a more holistic approach to variability in project management. Completely up to date, QUANTITATIVE METHODS FOR BUSINESS, 13E reflects the latest trends, issues, and practices from the field. See more
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A01=David AndersonA01=Dennis SweeneyA01=James CochranA01=Jeffrey CammA01=Jeffrey OhlmannA01=Michael FryA01=Thomas WilliamsAge Group_UncategorizedAuthor_David AndersonAuthor_Dennis SweeneyAuthor_James CochranAuthor_Jeffrey CammAuthor_Jeffrey OhlmannAuthor_Michael FryAuthor_Thomas Williamsautomatic-updateCategory1=Non-FictionCategory=KCHSCategory=KJCCOP=United StatesDelivery_Delivery within 10-20 working daysLanguage_EnglishPA=AvailablePrice_€50 to €100PS=Activesoftlaunch
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Product Details
  • Weight: 1905g
  • Dimensions: 218 x 260mm
  • Publication Date: 02 Feb 2015
  • Publisher: Cengage Learning Inc
  • Publication City/Country: United States
  • Language: English
  • ISBN13: 9781285866314

About David AndersonDennis SweeneyJames CochranJeffrey CammJeffrey OhlmannMichael FryThomas Williams

David R. Anderson is a leading author and professor emeritus of quantitative analysis in the College of Business Administration at the University of Cincinnati. Dr. Anderson 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 colleges first executive program. In addition to introductory statistics for business students Dr. Anderson taught graduate-level courses in regression analysis multivariate analysis and management science. He also taught statistical courses at the Department of Labor in Washington D.C. Dr. Anderson has received numerous honors for excellence in teaching and service to student organizations. He is the co-author of ten well-respected textbooks related to decision sciences and he actively consults with businesses in the areas of sampling and statistical methods. Born in Grand Forks North Dakota Dr. Anderson earned his B.S. M.S. and Ph.D. degrees from Purdue University. Dennis J. Sweeney is professor emeritus of quantitative analysis and founder of the Center for Productivity Improvement at the University of Cincinnati. Born in Des Moines Iowa he earned a B.S.B.A. degree from Drake University and his M.B.A. and D.B.A. 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. He also served as head of the Department of Quantitative Analysis and served four years as associate dean of the College of Business Administration at the University of Cincinnati. Dr. Sweeney has published more than 30 articles and monographs 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 journals such as Management Science Operations Research Mathematical Programming and Decision Sciences. Dr. Sweeney has co-authored 10 textbooks in the areas of statistics management science linear programming and production and operations management. N/A Michael J. Fry is Professor of Operations Business Analytics and Information Systems Lindner Research Fellow and Managing Director of the Center for Business Analytics in the Carl H. Lindner College of Business at the University of Cincinnati. Born in Killeen Texas he earned a B.S. from Texas A&M University and his M.S.E. and Ph.D. from the University of Michigan. He has been at the University of Cincinnati since 2002 where he was previously department head. He has also been a visiting professor at Cornell University and the University of British Columbia. Dr. Fry has published more than 25 research papers in journals such as Operations Research M&SOM Transportation Science Naval Research Logistics IISE Transactions Critical Care Medicine and INFORMS Journal on Applied Analytics. His research interests are in applying quantitative management methods to the areas of supply chain analytics sports analytics and public-policy operations. He has worked with many organizations for his research including Dell Inc. Starbucks Coffee Company Great American Insurance Group the Cincinnati Fire Department the State of Ohio Election Commission the Cincinnati Bengals and the Cincinnati Zoo and Botanical Garden. Dr. Fry was named a finalist for the Daniel H. Wagner Prize for Excellence in Operations Research Practice and he has been recognized for both his research and teaching excellence at the University of Cincinnati. Jeffrey W. Ohlmann is Associate Professor of Business Analytics and Huneke Research Fellow in the Tippie College of Business at the University of Iowa. Born in Valentine Nebraska he earned a B.S. from the University of Nebraska and his M.S. and Ph.D. from the University of Michigan. He has been at the University of Iowa since 2003. Dr. Ohlmanns research on the modeling and solution of decision-making problems has produced more than two dozen research papers in journals such as Operations Research Mathematics of Operations Research INFORMS Journal on Computing Transportation Science the European Journal of Operational Research and INFORMS Journal on Applied Analytics (formerly Interfaces). He has collaborated with companies such as Transfreight LeanCor Cargill the Hamilton County Board of Elections as well as three National Football League franchises. Because of 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. Jeffrey D. Camm is the Inmar Presidential Chair of Analytics and Senior Associate Dean for Faculty 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 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 The INFORMS Journal on Applied Analytics 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 a consultant to numerous companies and government agencies. Dr. Camm served as editor-in-chief of INFORMS Journal on Applied Analytics and is an INFORMS fellow. James J. Cochran is Professor of Applied Statistics the Mike and Cathy Mouron Research Chair and Associate Dean for Faculty and Research at the University of Alabama. Born in Dayton Ohio he earned his B.S. M.S. and M.B.A. degrees from Wright State University and his Ph.D. from the University of Cincinnati. Dr. Cochran has served at The University of Alabama since 2014 and has been a visiting scholar at Stanford University Universidad de Talca the University of South Africa and Pole Universitaire Leonard de Vinci. Dr. Cochran has published more than 50 papers in the development and application of operations research and statistical methods. He has published his research in Management Science The American Statistician Communications in Statistics-Theory and Methods Annals of Operations Research European Journal of Operational Research Journal of Combinatorial Optimization INFORMS Journal on Applied Analytics BMJ Global Health and Statistics and Probability Letters. He was the 2008 recipient of the INFORMS Prize for the Teaching of Operations Research Practice and the 2010 recipient of the Mu Sigma Rho Statistical Education Award. He received the Founders Award in 2014 and the Karl E. Peace Award in 2015 from the American Statistical Association. In 2017 he received the American Statistical Associations Waller Distinguished Teaching Career Award and in 2018 he received the INFORMS Presidents Award. Dr. Cochran is an elected member of the International Statistics Institute a fellow of the American Statistical Association and a fellow of INFORMS. A strong advocate for effective statistics and operations research education as a means of improving the quality of applications to real problems Dr. Cochran has organized and chaired teaching workshops throughout the world.

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