Análisis de datos multivariados: análisis general

Authors

  • Jessica Fernández-Garza Departamento de Estadística y Cálculo, Universidad Autónoma Agraria Antonio Narro. Buenavista. 25315. Saltillo, Coah., México.
  • José Antonio Díaz-García Departamento de Estadística y Cálculo, Universidad Autónoma Agraria Antonio Narro. Buenavista. 25315. Saltillo, Coah., México.

DOI:

https://doi.org/10.59741/agraria.v3i1-2-3.531

Keywords:

Multivariate Analysis, Principal Components Analysis, Normalized Principal Components Analysis

Abstract

  1. ABSTRACT

The objective of this assay was to study the ideas that serve as a basis for AG, and also serve to obtain both, the ACP and the ACS, like particular cases of it. Here are presented the algebraic ideas on which the General Analysis (AG) is based, since this conforms the theoretical base of some multivariate methods. It is mentioned under which circumstances the Principal Components Analysis (ACP) and the Simple Correspondence Analysis (ACS) are obtained as particular cases of the AG. An example is given for the case of the ACS. 

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References

Greenacre, M. J. y Blasius. 1994. Correspondence analy sis in the social science. Academic Press. 370 p.

Johnson, R. M. 1963. On a theorem stated by Eckart and Young. Psychometrika 28:259-263. DOI: https://doi.org/10.1007/BF02289573

Lebart, L., Morineau, A. yWarwick, K. 1984. Multivari ate descrptive statistical analysis. John Wiley and Sons. 231 p.

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Published

2006-12-15

Issue

Vol. 3 No. 1-2-3 (2006): Enero-Diciembre de 2006

Section

Artículos de divulgación

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

How to Cite

Análisis de datos multivariados: análisis general. (2006). Agraria, 3(1-2-3), 42-46. https://doi.org/10.59741/agraria.v3i1-2-3.531

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