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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
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