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Activity Number: 616
Type: Contributed
Date/Time: Wednesday, August 3, 2016 : 2:00 PM to 3:50 PM
Sponsor: IMS
Abstract #318550 View Presentation
Title: Comparing the equality of K mean vectors on several multivariate log-normal distributions
Author(s): Shu-Hui Lin*
Companies: National Taichung University of Science and Technology
Keywords: generalized p-value ; generalized variable method ; K mean vectors ; Multivariate log-normal distribution ; Pairwise mean vector difference
Abstract:

In this study, we extend our research experience on studying mean vector of one and two multivariate log-normal populations to further consider the mean vectors of several independent multivariate log-normal populations. The log-normal distribution is one of good candidates to describe positive and skewed data. If the data contain many characteristic values, the multivariate log-normal distribution is a good choice to fit such data. In this stdudy, we will derive the testing procedure to test the equality of K-mean vectors based on the generalized variable method (GVM). The proposed method will be compared with the classical F-test and the classical chi-square test which are available in the literature under under different groups, dimensions and parameters configuration.


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

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