Canonical Correlation Analysis

Wolfgang Karl Härdle and Leopold Simar
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Wolfgang Karl Härdle: Humboldt-Universität zu Berlin, C.A.S.E. Centre f. Appl. Stat. & Econ. School of Business and Economics

Chapter Chapter 16 in Applied Multivariate Statistical Analysis, 2015, pp 443-454 from Springer

Abstract: Abstract Complex multivariate data structures are better understood by studying low-dimensional projections. For a joint study of two data sets, we may ask what type of low-dimensional projection helps in finding possible joint structures for the two samples. The canonical correlation analysis (CCA) is a standard tool of multivariate statistical analysis for discovery and quantification of associations between two sets of variables.

Keywords: Contingency Table; Canonical Correlation; Canonical Correlation Analysis; Canonical Variable; Multivariate Statistical Analysis (search for similar items in EconPapers)
Date: 2015
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DOI: 10.1007/978-3-662-45171-7_16

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