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Rick Wicklin
Distinguished Researcher, SAS
Rick Wicklin is a Distinguished Researcher in computational statistics at SAS, where he develops and supports the IML procedure and the SAS/IML Studio application. He received a PhD from Cornell University and has been a SAS user since 1997. Rick has presented numerous tutorials and papers at statistical and SAS users group conferences and is active in the American Statistical Association. Rick maintains a blog for statistical programmers at blogs.sas.com/content/iml.
By This Author
Simulating Data with SAS®
By Rick Wicklin
Brings together the most useful algorithms and the best programming techniques for efficient data simulation in an accessible how-to book for practicing statisticians and statistical programmers.
- Appendix A: A SAS/IML Primer
- Appendix B: Generating Multivariate Ordinal Variables
- Appendix C: Generating Random Correlation Matrices
- Appendix D: Functions for Simulating Data by Using Fleishman's Transformation
- Appendix E: Constructing a Moment-Ratio Diagram in SAS
Statistical Programming with SAS/IML® Software
By Rick Wicklin
The first book to provide a comprehensive description of SAS/IML software and how to use it. Wicklin presents tips and techniques that enable you to use the IML procedure and the SAS/IML Studio application efficiently. It also shows how to create and modify statistical graphs, call SAS procedures and R functions from a SAS/IML program, and implement such modern statistical techniques as simulations and bootstrap methods.
Extras and Events
Web Interview: Maura Stokes, Director, SAS Research and Development, interviews Rick Wicklin
Awards
2013-2014 Society for Technical Communication Carolina Chapter Technical Publications Competition:
Award of Merit:
Simulating Data with SAS®
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2011-2012 Society for Technical Communication International Summit:
Award of Excellence:
Statistical Programming with SAS/IML® Software
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2011-2012 Society for Technical Communication Carolina Chapter Technical Publications Competition:
Award of Excellence:
Statistical Programming with SAS/IML® Software
Featured Authors
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Art Carpenter, an independent consultant and statistician, has been a SAS user since 1977.
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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.
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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.
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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.