Back to Search Start Over

The Generalized Multiple CO-inertia Analysis (GMCOA).

Authors :
Kissita, Gabriel
Kibangou, Christian D'Aquin Nzouzi
Niéré, Léonard
Nkiet, Guy Martial
Source :
Communications in Statistics: Theory & Methods. 2023, Vol. 52 Issue 22, p7861-7885. 25p.
Publication Year :
2023

Abstract

The Multiple CO-inertia Analysis (MCOA) is a method which makes it possible simultaneously to analyze multiple tables of a multiblock having the same lines (individuals). It stipulates the existence of the auxiliary variables as for the generalized canonical correlation analysis (GCCA). Its numerical stability, its easiness to use and its good properties, make of it a good alternative to the GCCA, which is numerically unstable or not easily interpretable. In this article, we propose a generalization of this method in several multiblocks having the same lines, named: Generalized Multiple CO-inertia Analysis (GMCOA). Properties of this method are given. This method is applied to the sensory analysis. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03610926
Volume :
52
Issue :
22
Database :
Academic Search Index
Journal :
Communications in Statistics: Theory & Methods
Publication Type :
Academic Journal
Accession number :
172840270
Full Text :
https://doi.org/10.1080/03610926.2022.2051049