Format:
Online-Ressource
ISSN:
1521-4036
Content:
Abstract: A modification of the principal component test is presented. It uses a weighted combination of the sums of squares for different principal components and is thus more powerful in high‐dimensional settings with small sample sizes. Under usual normality assumptions, a rotation test is proposed which enables an exact conditional parametric test. The procedure is demonstrated with microarray data for the bacterial composition in the rhizosphere of different potato cultivars. In simulation studies, the power of the proposed statistic is compared with the competing multivariate parametric tests.
In:
volume:54
In:
number:1
In:
year:2012
In:
pages:94-107
In:
extent:14
In:
Biometrical journal, Berlin : Wiley-VCH, 1959-, 54, Heft 1 (2012), 94-107 (gesamt 14), 1521-4036
Language:
English
DOI:
10.1002/bimj.201000164
URN:
urn:nbn:de:101:1-2023031408011816052276
URL:
https://doi.org/10.1002/bimj.201000164
URL:
https://nbn-resolving.org/urn:nbn:de:101:1-2023031408011816052276
URL:
https://d-nb.info/1283315750/34
URL:
https://doi.org/10.1002/bimj.201000164