Multiple Comparisons among Mean Vectors when the Dimension is Larger than the Total Sample Size(Session 3b)

Abstract

We consider multiple comparisons among mean vectors for high-dimensional data under the multivariate normality. The statistic based on Dempster trace criterion is given, and also its approximate upper percentile is derived by using Bonferroni's inequality. Finally, the accuracy of its approximate value is evaluated by Monte Carlo simulation.