Open Access
November 2004 Permutation Methods: A Basis for Exact Inference
Michael D. Ernst
Statist. Sci. 19(4): 676-685 (November 2004). DOI: 10.1214/088342304000000396

Abstract

The use of permutation methods for exact inference dates back to Fisher in 1935. Since then, the practicality of such methods has increased steadily with computing power. They can now easily be employed in many situations without concern for computing difficulties. We discuss the reasoning behind these methods and describe situations when they are exact and distribution-free. We illustrate their use in several examples.

Citation

Download Citation

Michael D. Ernst. "Permutation Methods: A Basis for Exact Inference." Statist. Sci. 19 (4) 676 - 685, November 2004. https://doi.org/10.1214/088342304000000396

Information

Published: November 2004
First available in Project Euclid: 18 April 2005

zbMATH: 1100.62563
MathSciNet: MR2185589
Digital Object Identifier: 10.1214/088342304000000396

Keywords: distribution-free , Monte Carlo , nonparametric , permutation tests , randomization tests

Rights: Copyright © 2004 Institute of Mathematical Statistics

Vol.19 • No. 4 • November 2004
Back to Top