JSM 2011 Online Program

The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.


CE_34T	Wed, 8/3/2011, 3:00 PM - 4:45 PM	HQ-Poinciana Salon 1
Data Simulation for Evaluating Statistical Methods in SAS — Continuing Education CTW
ASA , SAS
Instructor(s): Rick Wicklin, SAS Institute Inc.
To assess statistical techniques, you often need to create data with known properties, both random and nonrandom. This workshop presents techniques for using the DATA step and SAS/IML® software to simulate data. Attendees will learn to simulate: data from common univariate and multivariate distributions, including skewed and heavy-tailed distributions, data from a mixture of distributions, and data with known properties such as a specific covariance structure or a known regression structure. Attendees will learn to use simulated data to evaluate: the performance of algorithms, the robustness of statistics, and the coverage probabilities of approximate confidence intervals. This workshop is intended for researchers and practicing statisticians who are familiar with SAS programming and SAS/STAT procedures. Participants who are unfamiliar with SAS/IML software might want to refer to the book,Statistical Programming with SAS/IML Software (Wicklin, 2010).

2011 JSM Online Program Home

For information, contact jsm@amstat.org or phone (888) 231-3473.

If you have questions about the Continuing Education program, please contact the Education Department.