A studentized permutation test for the nonparametric Behrens-Fisher problem in paired data

By Frank Konietschke, Markus Pauly. 2012

49 citations recorded by the source corpus.

: We consider nonparametric ranking methods for matched pairs, whose distributions can have diﬀerent shapes even under the null hypothesis of no treatment eﬀect. Although the data may not be exchangeable under the null, we investigate a permutation approach as a valid procedure for ﬁnite sample sizes. In particular, we derive the limit of the studentized permutation distribution under alternatives, which can be used for the construction of (1 − α )-conﬁdence intervals. Simulation studies show that the new approach is more accurate than its competitors. The procedures are illustrated using a real data set.

Subfields: Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/6f351847dbeb192acb4be4aacec18d2603a85839

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In Statistics and Probability

Citations in the corpus

Asymptotic permutation tests in general factorial designs (2015, methodology): “First ideas in this direction have been developed by Neuhaus (1993) and Janssen (1997) and have been further developed and generalized by Janssen and Pauls (2003), Neubert and Brunner (2007), Pauly (2011a), Konietschke and Pauly (2012), Omelka and Pauly (2012) and Chung and Romano (2013).”