This Title All WIREs
How to cite this WIREs title:
WIREs Data Mining Knowl Discov
Impact Factor: 7.250

Resampling methods

Full article on Wiley Online Library:   HTML PDF

Can't access this content? Tell your librarian.

Abstract Resampling methods are statistical procedures that reuse the sample data for the purpose of statistical inference. However, they do not require parametric assumptions that may be difficult to verify in practice. This focus article describes four resampling techniques, the bootstrap, the jackknife, cross‐validation, and permutation tests. Another method, subsampling, is mentioned with two references but is not covered in any detail. These resampling methods and the history of their development are outlined in this paper. © 2012 Wiley Periodicals, Inc. This article is categorized under: Algorithmic Development > Statistics Technologies > Prediction

Bootstrap histogram for Cpk.

[ Normal View | Magnified View ]

Related Articles

The jackknife: a resampling method with connections to the bootstrap (WIREs WIREs Computational Statistics )

Browse by Topic

Technologies > Prediction
Algorithmic Development > Statistics

Access to this WIREs title is by subscription only.

Recommend to Your
Librarian Now!

The latest WIREs articles in your inbox

Sign Up for Article Alerts