Decomposition of Data Matrices by Factors

Wolfgang Karl Härdle () and Leopold Simar
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Wolfgang Karl Härdle: Humboldt-Universität zu Berlin, Ladislaus von Bortkiewicz Chair of Statistics

Chapter Chapter 10 in Applied Multivariate Statistical Analysis, 2019, pp 285-297 from Springer

Abstract: 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, which is 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.

Date: 2019
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Related works:
Chapter: Decomposition of Data Matrices by Factors (2024)
Chapter: Decomposition of Data Matrices by Factors (2015)
Chapter: Decomposition of Data Matrices by Factors (2003)
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DOI: 10.1007/978-3-030-26006-4_10

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