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Erschienen in:
2015 | OriginalPaper | Buchkapitel
10. Decomposition of Data Matrices by Factors
verfasst von : Wolfgang Karl Härdle, Léopold Simar
Erschienen in: Applied Multivariate Statistical Analysis
Verlag: Springer Berlin Heidelberg
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Abstract
In Chap. 1 basic descriptive techniques were developed which provided tools for “looking” at multivariate data. They were based on adaptations of bivariate or univariate devices used to reduce the dimensions of the observations. In the following three chapters, issues of reducing the dimension of a multivariate data set will be discussed. The perspectives will be different but the tools will be related.