DocumentCode
3422669
Title
Multivariate statistical independence and contingency tables
Author
Tsumoto, Shusaku ; Hirano, Shoji ; Abe, Hidenao
Author_Institution
Dept. of Med. Inf., Shimane Univ., Izumo, Japan
fYear
2009
fDate
17-19 Aug. 2009
Firstpage
544
Lastpage
548
Abstract
This paper focuses on statistical independence of multiple variables from the viewpoint of linear algebra. The residual for odds ratio, which can be viewed as an extension of the determinant of two dimensional contingency matrix, plays an important role in decomposition of multivariate data tables.
Keywords
matrix algebra; statistical analysis; contingency table; linear algebra; multivariate data table decomposition; multivariate statistical independence; two dimensional contingency matrix determinant; Biomedical informatics; Bismuth; Data mining; Linear algebra; Matrices; Matrix decomposition; Probability; Statistics;
fLanguage
English
Publisher
ieee
Conference_Titel
Granular Computing, 2009, GRC '09. IEEE International Conference on
Conference_Location
Nanchang
Print_ISBN
978-1-4244-4830-2
Type
conf
DOI
10.1109/GRC.2009.5255063
Filename
5255063
Link To Document