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.
Citation
Anders Oden. Hans Wedel. "Arguments for Fisher's Permutation Test." Ann. Statist. 3 (2) 518 - 520, March, 1975. https://doi.org/10.1214/aos/1176343082
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