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Activity Number: 697
Type: Contributed
Date/Time: Thursday, August 4, 2016 : 10:30 AM to 12:20 PM
Sponsor: Section on Statistical Learning and Data Science
Abstract #320731 View Presentation
Title: High-Dimensional Multivariate Repeated Measures Analysis with Unequal Covariance Matrices
Author(s): Xiaoli Kong* and Solomon W. Harrar
Companies: University of Kentucky and University of Kentucky
Keywords: Profile analysis ; Asymptotic ; Consistency ; Characteristic function ; Quadratic form ; Unequal covariate

In this paper, test statistics for repeated measures design are introduced when the dimension is large. By large dimension is meant the number of repeated measures and the total sample size grow together but either one could be larger than the other. Asymptotic distribution of the statistics are derived for the equal as well as unequal co-variance cases in the balanced as well as unbalanced cases.

Authors who are presenting talks have a * after their name.

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