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Activity Details

CE_37T Wed, 8/7/2013, 3:00 PM - 4:45 PM W-Ville-Marie
Using the Bootstrap Feature in JMP — Continuing Education CTW
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.

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