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Equivalency between vertices and centers-coupled-with-radii principal component analyses for interval data
Department of Statistics, Stockholm University, Stockholm, Sweden; Department of Automation, Shanghai Jiao Tong University, Shanghai, China.
Department of Statistics, Stockholm University, Stockholm, Sweden.ORCID-id: 0000-0001-6581-7570
Department of Management Science and Statistics, The University of Texas at San Antonio, One UTSA Circle, San Antonio TX, United States.
2015 (engelsk)Inngår i: Statistics and Probability Letters, ISSN 0167-7152, E-ISSN 1879-2103, Vol. 106, s. 113-120Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

Centers and vertices principal component analyses are common methods to explain variations within multivariate interval data. We introduce multivariate equicorrelated structures to vertices' covariance. Assuming the structure, we show equivalence between centers and vertices methods by proving their eigensystems proportional.
sted, utgiver, år, opplag, sider
Elsevier, 2015. Vol. 106, s. 113-120
Emneord [en]
Blocked compound symmetry covariance, Principal component analysis, Interval data
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Identifikatorer
URN: urn:nbn:se:oru:diva-70266DOI: 10.1016/j.spl.2015.07.005ISI: 000362137000018Scopus ID: 2-s2.0-84938082484OAI: oai:DiVA.org:oru-70266DiVA, id: diva2:1264772
Merknad

Funding Agency:

K & A Wallenberg Foundation of Stockholm Univ  SU FV 2.1.8-2396-13

Tilgjengelig fra: 2018-11-21 Laget: 2018-11-21 Sist oppdatert: 2020-09-03bibliografisk kontrollert

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Liang, Yuli

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