Data simulation is a fundamental technique in statistical programming and research. Rick Wicklin's Simulating Data with SAS 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.
This book discusses in detail how to simulate data from common univariate and multivariate distributions, and how to use simulation to evaluate statistical techniques. It...
Rick Wicklin is a principal 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...
"This book is a powerful learning tool and an indispensable aid to anyone who wants to use simulation methods in SAS. I especially like the exercises throughout each chapter, because I believe that you learn much more by getting into the 'meat' of the program. Also of particular interest to me were the chapters on resampling and on moment matching. These are two methods that have great appeal in...
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