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Activity Details


CE_13C Mon, 8/5/2013, 8:00 AM - 12:00 PM W-Palais
Techniques for Simulating Data in SAS — Continuing Education Course
ASA , Section for Statistical Programmers and Analysts
Instructor(s): Rick Wicklin, SAS
Simulating data is a fundamental technique in statistical programming. To assess statistical methods, you often need to create data with known properties, both random and nonrandom. This workshop presents intermediate-level algorithms and techniques for simulating data from:  mixture distributions  multivariate distributions with a given correlation  distributions with arbitrary marginal distributions and correlation structure  distributions of correlation matrices  regression models with fixed and random effects  basic spatial models  distributions with central moments that match the sample moments of real data This workshop is intended for practicing statisticians who need to simulate data efficiently in SAS. Examples are present using the SAS system, specifically the DATA step and SAS/IML® software. It is assumed that the student is familiar with basic simulation at the level of Chapters 1-4 of Simulating Data with SAS (Wicklin, 2013). This course covers material in Chapters 5-11 of the same book.



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