Multivariate Analysis and Multidimensional Geometry

A - Papers appearing in refereed journals

Gower, J. C. 1967. Multivariate Analysis and Multidimensional Geometry. Journal of the Royal Statistical Society, Series D (The Statistician). 17 (1), pp. 13-28. https://doi.org/10.2307/2987199

AuthorsGower, J. C.
Abstract

Many multivariate statistical methods may be regarded as techniques for investigating a sample space in which each sample member is represented by a point. Some aspects of the geometrical interpretation of Principal Components, Principal Coordinates, Canonical Variate and Factor Analysis are discussed, with stress given to implicit assumptions not always realized; some special cases of principal components analysis are included. The angular representation of samples is discussed and the inter‐relationship between the hierarchical representation of a sample and its spatial representation briefly described.

Year of Publication1967
JournalJournal of the Royal Statistical Society, Series D (The Statistician)
Journal citation17 (1), pp. 13-28
Digital Object Identifier (DOI)https://doi.org/10.2307/2987199
Web address (URL)https://doi.org/10.2307/2987199
Open accessPublished as non-open access
Output statusPublished
Copyright licensePublisher copyright
PublisherWiley
ISSN1467-9884

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