David A. Dickey
Professor of Statistics, North Carolina State University
David A. Dickey, PhD, is a William Neal Reynolds Distinguished Professor of Statistics at North Carolina State University, where he teaches graduate courses in statistical methods and time series. An accomplished SAS user since 1976, an award-winning teacher, and a prolific and highly cited author, he co-invented the famous Dickey-Fuller test used in SAS/ETS software. He is a fellow of the American Statistical Association, was a founding member of the NCSU Institute for Advanced Analytics, is a member of the Financial Math faculty, and fulfills an associate appointment in the Department of Agricultural and Resource Economics. Dr. Dickey holds an MS in mathematics from Miami University–Ohio, and in 1976 he received his PhD in statistics from Iowa 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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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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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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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.