Bong S. Choi
Bong S. Choi, PhD previously worked as a Senior Associate Analytical Consultant at SAS. He worked on projects across a variety of industries, including health care, retail, and banking. A SAS certified advanced programmer, he has been a SAS user since 2011. Dr. Choi holds an MS in applied statistics from the University of Michigan at Ann Arbor and in 2016 received his PhD in statistics from North Carolina State University.
By This Author
SAS® for Forecasting Time Series, Third Edition
By John C. Brocklebank, David A. Dickey, and Bong S. Choi
To use statistical methods and SAS® applications to forecast the future values of data taken over time, you need only follow this thoroughly updated classic on the subject. With this third edition of SAS for Forecasting Time Series, intermediate-to-advanced SAS users—such as statisticians, economists, and data scientists—can now match the most sophisticated forecasting methods to the most current SAS applications.
Featured Authors
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Robert N. Rodriguez retired from SAS in 2018 after serving as a senior director in research and development. Bob received a PhD in statistics from the University of North Carolina at Chapel Hill and was a research statistician at General Motors Research Laboratories before joining SAS.
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Todd Case has been working in the pharmaceutical industry as a statistical programmer for over 20 years. He completed his MS in Epidemiology from Columbia University and has worked at Forest Laboratories (now Allergan), Genentech, Bristol-Myers Squibb, and Biogen. He currently works at Vertex Pharmaceuticals.
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Terisa Roberts is a director and Global Solution lead for Risk Modeling and Decisioning at SAS. She has extensive experience in quantitative risk management, regulatory compliance, and model governance and validation. She has worked in financial services, telecommunications, government, energy, and retail sectors.
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Ron Klimberg, PhD, is a professor at the Haub School of Business at Saint Joseph's University in Philadelphia, PA.