Please use this identifier to cite or link to this item: http://dx.doi.org/10.25673/92085
Title: Use of multivariate distance measures for high-dimensional data in tests for difference, superiority, equivalence and non-inferiority
Author(s): Kropf, Siegfried
Antweiler, Kai LarsLook up in the Integrated Authority File of the German National Library
Issue Date: 2022
Type: Article
Language: English
URN: urn:nbn:de:gbv:ma9:1-1981185920-940378
Subjects: Equivalence test
Multivariate pairwise distance measure
Non-inferiority test
Superiority test
Abstract: Tests based on pairwise distance measures for multivariate sample vectors are common in ecological studies but are usually restricted to two-sided tests for differences. In this paper, we investigate extensions to tests for superiority, equivalence and non-inferiority.
URI: https://opendata.uni-halle.de//handle/1981185920/94037
http://dx.doi.org/10.25673/92085
Open Access: Open access publication
License: (CC BY-NC 4.0) Creative Commons Attribution NonCommercial 4.0(CC BY-NC 4.0) Creative Commons Attribution NonCommercial 4.0
Sponsor/Funder: Projekt DEAL 2021
Journal Title: Biometrical journal
Publisher: Wiley-VCH
Publisher Place: Berlin
Volume: 64
Issue: 3
Original Publication: 10.1002/bimj.202000367
Page Start: 577
Page End: 597
Appears in Collections:Medizinische Fakultät (OA)

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