September 2014 Member Webinar: Resampling Techniques

by Karen Grace-Martin

All resampling techniques are based on the idea of repeatedly estimating a statistic based on subsets of the sample.

There are many practical applications, including estimating standard errors when they can’t be based on a theoretical distribution (a.k.a., when distributional assumptions are not met).

In this webinar, we’ll talk about some of the most common resampling techniques, including the jacknife and bootstrap, how they work, and situations in which they’re useful.

Note: This webinar is an exclusive benefit for members of the Statistically Speaking Membership Program.

About the Instructor

Karen Grace-Martin helps statistics practitioners gain an intuitive understanding of how statistics is applied to real data in research studies.

She has guided and trained researchers through their statistical analysis for over 15 years as a statistical consultant at Cornell University and through The Analysis Factor. She has master’s degrees in both applied statistics and social psychology and is an expert in SPSS and SAS.

Not a Member Yet?

It’s never too late to join the hottest stats club around.

Just head over to our enrollment page to sign up for Statistically Speaking.

You’ll get exclusive access to this month’s webinar, plus live Q&A sessions, a private stats forum, 50+ video recordings of past webinars (including this one), and more.

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