An extension of MLDA to Three-way Contingency Tables
[Une extension de l’analyse discriminante multiblocs aux tableaux de contingence ternaires]
Journal de la société française de statistique, Tome 160 (2019) no. 2, pp. 67-82.

L’objet de cet article est de proposer une extension de l’analyse factorielle discriminante de tableaux multiples à la description d’un ensemble de tableaux de contingence qui ont été observés à différentes occasions et qui ont le même nombre de lignes et le même nombre de colonnes. Cette méthode, MLDA-TCT, est un compromis entre l’analyse factorielle des correspondances et l’analyse discriminante linéaire. MLDA-TCT détermine une ou plusieurs variables auxiliaires pour chaque tableau de données, de telle manière que ces variables prennent en compte à la fois les relations entre les lignes et les colonnes des tableaux de contingence et les relations entre les tableaux de contingence.

The aim of this paper is to propose an extension of Multiblock Linear Discriminant Analysis (MLDA) for analyzing a set of contingency tables which have been observed in different occasions and have the same number of rows and the same number of columns. This extension, Multiblock Linear Discriminant Analysis of Three-way Contingency Tables (MLDA-TCT, is midway between correspondence analysis and linear discriminant analysis; MLDA-TCT computes one or several variables for each data table, such that these variables take into account relationships between rows and columns of the contingency tables in one hand, and in the other hand, take into account relationships between contingency tables.

Keywords: linear discriminant analysis, canonical analysis, correspondence analysis, bi-partitioned data table, Three-way contingency table
Mot clés : analyse discriminante, analyse canonique, analyse des correspondances, tableau bi-partitionné, tableau de contingence ternaire 
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Casin, Philippe. An extension of MLDA to Three-way Contingency Tables. Journal de la société française de statistique, Tome 160 (2019) no. 2, pp. 67-82. http://www.numdam.org/item/JSFS_2019__160_2_67_0/

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