Equivalency between vertices and centers-coupled-with-radii principal component analyses for interval data
2015 (English)In: Statistics and Probability Letters, ISSN 0167-7152, E-ISSN 1879-2103, Vol. 106, 113-120 p.Article in journal (Refereed) Published
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.
Place, publisher, year, edition, pages
2015. Vol. 106, 113-120 p.
Blocked compound symmetry covariance, Principal component analysis, Interval data
Probability Theory and Statistics
Research subject Statistics
IdentifiersURN: urn:nbn:se:su:diva-119092DOI: 10.1016/j.spl.2015.07.005ISI: 000362137000018OAI: oai:DiVA.org:su-119092DiVA: diva2:843326