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
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.
- Ron Cody, EdD, a retired professor from the Robert Wood Johnson Medical School now works as a private consultant and a national instructor for SAS Institute.
- Ganlin Xu, PhD, is the Chief Technology Officer at GuidedChoice, Inc. Dr. Xu has more than two decades of investment industry experience and currently serves as a Quantitative Research Consultant at McKinley Capital Management, LLC.
- Ruth M. Hummel, PhD, is a Senior Manager of Analytical Education at SAS. Dr. Hummel develops curricula, teaches, and consults to help researchers and practitioners apply statistical methods and analytics to solving problems, predominantly in the health and life sciences.