CANONICAL CORRELATION ANALYSIS BETWEEN TWO VERTICAL MULTI-BLOCK TABLES AND APPLICATIONS TO QUALITATIVE VARIABLES

被引:0
|
作者
Kissita, Gabriel [1 ]
Niere, Leonard [1 ]
Makany, Roger Armand [2 ]
Mizere, Dominique [3 ]
机构
[1] Univ Marien Ngouabi, Inst Super Gest, BP 15020, Brazzaville, Rep Congo
[2] Univ Marien Ngouabi, Fac Sci Econ, Brazzaville, Rep Congo
[3] Univ Marien Ngouabi, Fac Sci, Brazzaville, Rep Congo
关键词
data analysis; common components; specific weight; M-tables; STATIS; co-inertia; coupling of tables; STATICO;
D O I
暂无
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
The canonical correlation analysis is introduced for the purpose of studying the link between two groups of quantitative variables measured on the same individual groups. It presents a minor practical interest, its theoretical basement is incontestable, because of it, we can obtain the factorial analysis of correspondence and discriminant analysis and, it is also the generalization of the linear regression. It can also be extended to several ways, we quote: general canonical correlation analysis (GCA), discriminant table analysis (DTA), multiple co-inertia analysis (MCIA), etc. The generalization of canonical correlation analysis hereby is based on researching the link between two multi-vertical tables as it accounts for STATICO in the simultaneous analysis of M couple of the tables. Additionally, this method is applied to qualitative variables.
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页码:11 / 38
页数:28
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