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 Lars |
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 |
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) |
Files in This Item:
File | Description | Size | Format | |
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Kropf et al._Use of multivariate_2022.pdf | Zweitveröffentlichung | 2.16 MB | Adobe PDF | View/Open |