David L. Olson
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This book presents key concepts related to quantitative analysis in business.Business analytics has grown to be a key topic in business curricula, and there is a need for stronger quantitative skills and understanding of fundamental concepts.This book is aimed at business students, undergraduate and graduate, taking an introductory core course. Topics covered include knowledge management, visualization, sampling and hypothesis testing, regression (simple, multiple, and logistic), as well as optimization modeling. It concludes with a brief overview of data mining. Concepts are demonstrated with worked examples.
Acerca de David L. Olson
David L. Olson has published research in over 150 refereed journal articles, primarily on the topic of multiple objective decision making and information technology. He teaches in the management information systems, management science, and operations management areas and has authored over 20 books. He is a member of the Decision Sciences Institute, the Institute for Operations Research and Management Sciences, and the Multiple Criteria Decision Making Society. He was named the Raymond E. Miles Distinguished Scholar award for 2002, and was a James C. and Rhonda Seacrest Fellow from 2005 to 2006. He was named Best Enterprise Information Systems Educator by IFIP in 2006.
Acerca de Majid Nabavi
Majid Nabavi has published in Quality Management Journal, and presented research in regional and national conferences. His teaching areas include operations management, management science, database systems, and business analytics.
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