Equivalency between vertices and centers-coupled-with-radii principal component analyses for interval data

Chengcheng Hao, Yuli Liang and Anuradha Roy

Statistics & Probability Letters, 2015, vol. 106, issue C, 113-120

Abstract: 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.

Keywords: Blocked compound symmetry covariance; Principal component analysis; Interval data (search for similar items in EconPapers)
Date: 2015
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Citations: View citations in EconPapers (2)

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DOI: 10.1016/j.spl.2015.07.005

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