Legend: Boston Convention & Exhibition Center = CC, Westin Boston Waterfront = W, Seaport Boston Hotel = S
A * preceding a session name means that the session is an applied session.
A ! preceding a session name means that the session reflects the JSM meeting theme.
A * preceding a session name means that the session is an applied session.
A ! preceding a session name means that the session reflects the JSM meeting theme.
Activity Details
|
|
Tweet | ||
| CE_26C | Tue, 8/5/2014, 1:00 PM - 5:00 PM | CC-160A | |
| Techniques for Simulating Data in SAS — Professional Development Continuing Education Course | |||
| ASA , Section for Statistical Programmers and Analysts | |||
| 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. " | |||
| Instructor(s): Rick Wicklin, SAS Institute | |||
2014 JSM Online Program Home
For information, contact jsm@amstat.org or phone (888) 231-3473.
If you have questions about the Professional Development program, please contact the Education Department.
The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.
Copyright © American Statistical Association.