Journal
JOURNAL OF MULTIVARIATE ANALYSIS
Volume 99, Issue 3, Pages 386-402Publisher
ELSEVIER INC
DOI: 10.1016/j.jmva.2006.11.002
Keywords
asymptotic distribution; DNA microarray; multivariate normal; power comparison; significance test
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normal random vectors where the dimension p is larger than or equal to the number of observations N. This test is invariant under scalar transformations of each component of the random vector. Theories and simulation results show that the proposed test is superior to other two tests available in the literature. Interest in such significance test for high-dimensional data is motivated by DNA microarrays. However, the methodology is valid for any application which involves high-dimensional data. (C) 2006 Elsevier Inc. All rights reserved.
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