Extracting Information from Interval Data Using Symbolic Principal Component Analysis

We introduce generic definitions of symbolic variance and covariance for random interval-valued variables, that lead to a unified and insightful interpretation of four known symbolic principal component estimation methods: CPCA, VPCA, CIPCA, and SymCovPCA. Moreover, we propose the use of truncated v...

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Bibliographic Details
Main Authors: M. R. Oliveira, M. Vilela, A. Pacheco, Rui Valadas, Paulo Salvador
Format: Article
Language:English
Published: Austrian Statistical Society 2017-04-01
Series:Austrian Journal of Statistics
Online Access:http://www.ajs.or.at/index.php/ajs/article/view/673