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.
机构:
Univ Massachusetts, Sch Med, Worcester, MA 01655 USA
Meyers Primary Care Inst, Worcester, MA USAUniv Massachusetts, Sch Med, Worcester, MA 01655 USA
Fischer, Melissa A.
Harrell, Heather E.
论文数: 0引用数: 0
h-index: 0
机构:
Univ Florida, Coll Med, Gainesville, FL USAUniv Massachusetts, Sch Med, Worcester, MA 01655 USA
Harrell, Heather E.
Haley, Heather-Lyn
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h-index: 0
机构:
Univ Massachusetts, Sch Med, Clin Fac Dev Ctr, Worcester, MA USAUniv Massachusetts, Sch Med, Worcester, MA 01655 USA
Haley, Heather-Lyn
Cifu, Adam S.
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h-index: 0
机构:
Univ Chicago, Chicago, IL 60637 USAUniv Massachusetts, Sch Med, Worcester, MA 01655 USA
Cifu, Adam S.
Alper, Eric
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h-index: 0
机构:
Univ Massachusetts, Sch Med, Worcester, MA 01655 USAUniv Massachusetts, Sch Med, Worcester, MA 01655 USA
Alper, Eric
Johnson, Krista M.
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h-index: 0
机构:
Univ Chicago, Chicago, IL 60637 USAUniv Massachusetts, Sch Med, Worcester, MA 01655 USA
Johnson, Krista M.
Hatem, David
论文数: 0引用数: 0
h-index: 0
机构:
Univ Massachusetts, Sch Med, Worcester, MA 01655 USAUniv Massachusetts, Sch Med, Worcester, MA 01655 USA