Testing the equality of mean vectors for paired doubly multivariate observations in blocked compound symmetric covariance matrix setup
Anuradha Roy,
Ricardo Leiva,
Ivan Žežula and
Daniel Klein
Journal of Multivariate Analysis, 2015, vol. 137, issue C, 50-60
Abstract:
In this article we develop a test statistic for testing the equality of mean vectors for paired doubly multivariate observations with q response variables and u sites in blocked compound symmetric covariance matrix setting. We obtain a natural extension of the Hotelling’s T2 statistic, the Block T2 (BT2) statistic, a convolution of two T2’s, which uses unbiased estimates of the component matrices of the orthogonally transformed blocked compound symmetric covariance matrix that is present in a data set. The new test statistic is implemented with two real data sets. We compare our findings with the conventional Hotelling’s T2 statistic.
Keywords: Blocked compound symmetric covariance structure; Block T2 statistic; Paired doubly multivariate data; Hotelling’s T2 statistic (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0047259X15000354
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:jmvana:v:137:y:2015:i:c:p:50-60
Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01
DOI: 10.1016/j.jmva.2015.01.022
Access Statistics for this article
Journal of Multivariate Analysis is currently edited by de Leeuw, J.
More articles in Journal of Multivariate Analysis from Elsevier
Bibliographic data for series maintained by Catherine Liu ().