The Annals of Statistics

Arguments for Fisher's Permutation Test

Abstract

The problem of statistical comparison of two distributions, continuous as well as discrete, is considered. Very slight and reasonable modifications of traditional parameteric models, e.g. `normal distributions with equal variances', are shown to result in permutation tests, only. Fisher's permutations test is shown to have optimum properties which mean a good merit for its practical use. Further, an accurate method of determining the $p$-value of Fisher's test is proposed.

Article information

Source
Ann. Statist., Volume 3, Number 2 (1975), 518-520.

Dates
First available in Project Euclid: 12 April 2007

https://projecteuclid.org/euclid.aos/1176343082

Digital Object Identifier
doi:10.1214/aos/1176343082

Mathematical Reviews number (MathSciNet)
MR359167

Zentralblatt MATH identifier
0305.62027

JSTOR