Operator related to a data matrix: a survey

Yves Escoufier
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Yves Escoufier: Université de Montpellier II, Equipe de Probabilités et Statistique, Département des Sciences mathématiques

A chapter in Compstat 2006 - Proceedings in Computational Statistics, 2006, pp 285-297 from Springer

Abstract: Abstract The reading of this article will allow the readers to understand the data analysis approach which is proposed. The first paragraph gives the basic tools: the triplet (X, Q, D), the operator related to a data matrix and the coefficient RV. The two following paragraphs show how these tools are used for reading out and solving the problems of joint analysis of several data matrices and of principal component analysis with respect to instrumental variables. The conclusion recalls of the construction of this approach along the past thirty five years.

Keywords: Principal Component Analysis; Correspondence Analysis; Data Matrix; Instrumental Variable; Data Matrice (search for similar items in EconPapers)
Date: 2006
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-7908-1709-6_22

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DOI: 10.1007/978-3-7908-1709-6_22

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