title: The Fisher-Pitman permutation test when testing for differences in mean and variance.
abstract: The Fisher-Pitman permutation test can detect any type of difference between two samples: hence, a significant Fisher-Pitman permutation test does not necessarily provide evidence for a difference in means. It is possible, however, to test separately for differences in means and variances. Here, we present a recently proposed two-stage procedure to decide whether there are differences in means or variances that can be applied when samples may come from nonnormal distributions with possibly unequal variances.
authors.affiliation: Department of Mathematics and Statistics, University of Otago, P.O. Box 56, Dunedin, NZ. mneuhaus@maths.otago.ac.nz
authors.forename: Markus
authors.initials: M
authors.lastname: Neuhäuser
authors.forename: Bryan F J
authors.initials: BF
authors.lastname: Manly
mesh_terms: D000704:Analysis of Variance; D003625:Data Collection / Q000706:statistics & numerical data*; D003627:Data Interpretation, Statistical; D016021:Epidemiologic Studies; D006801:Humans; D012494:Sampling Studies