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:: Volume 20, Issue 2 (10-2015) ::
Andishe 2015, 20(2): 33-38 Back to browse issues page
Outlier test for a group of multivariate observations
Abazar Khalaji *
Abstract:   (4658 Views)

Assume that we have m independent random samples each of size n from Np(; ) and our goal is to test whether or
not the ith sample is an outlier (i=1,2,…..m). To date it is well known that a test statistics exist whose null distribution
is Betta and given the relationship between Betta and F distribution, an F test statistic can be used. In the statistical
literature however a clear and precise proof is not accessible and in some cases the proof is incomplete. In this paper
a precise and relatively clear proof is given and through simulation, capability and weakness of the test is considered.

Keywords: First Phase, Multivariate Process Control, Hotelings T^2 .
Full-Text [PDF 279 kb]   (2031 Downloads)    
Type of Study: Research | Subject: Special
Received: 2015/09/18 | Accepted: 2016/07/27 | Published: 2016/07/27
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khalaji A. Outlier test for a group of multivariate observations. Andishe 2015; 20 (2) :33-38
URL: http://andisheyeamari.irstat.ir/article-1-390-en.html


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Volume 20, Issue 2 (10-2015) Back to browse issues page
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