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Activity Number: 240
Type: Contributed
Date/Time: Tuesday, August 8, 2006 : 8:30 AM to 10:20 AM
Sponsor: IMS
Abstract - #306511
Title: Some Extensions of a Two-Sample Test under the Effect of High Dimension
Author(s): Yingli Qin*+ and Song X. Chen and Liang Peng
Companies: Iowa State University and Iowa State University and Iowa State University
Address: 315c Snedecor Hall, Ames, IA, 50010,
Keywords: high dimension ; power function ; significance test ; hypothesis test
Abstract:

We proposed a two sample test for population means with high dimensional data when the dimensionality is of the same order of the sample size. The properties of the test are evaluated under a general set of conditions. The test can be accommodated to(1)different covariance matrices for the two samples (2)a wider range of covariance structures regards to concentration on the eigenvalues of the covariance matrices.

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