When I first started teaching resampling, the idea of
drawing "resamples" from your original sample still provoked
frequent ridicule. Just last month, Samprit Chatterjee wrote
in "Significance" wondering "how new information is generated
by sampling the same data repeatedly." Do some resampling
yourself, and learn what it can and can't do, in my online
course, "Introduction to Resampling Methods," July 1 -22.
Upcoming courses:
Jun 10: Probability Distributions
Jul 1: Introduction to Resampling Methods (more below)
Jul 15: Introduction to Modeling
Aug 19: Modeling in R
Sep 23: The Bootstrap (a natural follow-on to Resampling)
“Introduction to Resampling Methods” introduces the basic
concepts and methods of resampling, including bootstrap
procedures and permutation (randomization) tests. The approach
of the course is to teach inference -- interval estimation,
one-two- and k-sample comparisons, correlation, regression –
from a resampling perspective, without complex theory,
mathematics or confusing statistical notation. It is a
companion course to two other more advanced courses on
bootstrap methods and randomization tests.
The course will require about 15 hours per week; there are no
set hours when you must be online. Participants can ask
questions and exchange comments directly with me via a private
discussion board throughout the period.
A bit about me: In addition to running (and teaching at)
statistics.com, I co-developed Resampling Stats software
(used in the course) and distribute XLMiner data mining software.
I have written some on resampling, and am a co-author of
"Data Mining for Business Intelligence" (Wiley, 2nd ed. 2010).
Registration and details are here
http://www.statistics.com/courses/introductory/resampling/
Peter Bruce
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