Legend: Palais des congrès de Montréal = CC, Le Westin Montréal = W, Intercontinental Montréal = I
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_37T | Wed, 8/7/2013, 3:00 PM - 4:45 PM | W-Ville-Marie | |
| Using the Bootstrap Feature in JMP — Continuing Education CTW | |||
| ASA , JMP | |||
| Instructor(s): Michael Crotty, SAS Institute Inc., Clayton Barker, SAS Institute Inc. | |||
| The Bootstrap is a powerful resampling technique for measuring the accuracy of statistical estimates and making inferences. This technique is especially useful when the theoretical distribution of the statistic is unknown or when we cannot trust an underlying assumption of our model (e.g. normality of residuals or sufficient sample size). Recent advances in computing power have made the Bootstrap (and other resampling methods) more popular and more broadly applicable. The release of JMP 10 introduced a "one-click Bootstrap" feature that allows the user to take advantage of the nonparametric Bootstrap in a wide variety of settings with little additional effort. This workshop will provide a brief introduction to the Bootstrap and an overview of how to take advantage of the Bootstrap features in JMP. We will also discuss how to use the JMP Scripting Language (JSL) to implement related resampling methods such as Bagging and the parametric Bootstrap. The workshop is intended for a broad audience that has an understanding of regression and basic statistics. Participants will be provided with a free trial version of JMP and files for reproducing the analyses discussed in the workshop. | |||
2013 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.
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.