Title :
Multivariate statistical independence and contingency tables
Author :
Tsumoto, Shusaku ; Hirano, Shoji ; Abe, Hidenao
Author_Institution :
Dept. of Med. Inf., Shimane Univ., Izumo, Japan
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;
Conference_Titel :
Granular Computing, 2009, GRC '09. IEEE International Conference on
Conference_Location :
Nanchang
Print_ISBN :
978-1-4244-4830-2
DOI :
10.1109/GRC.2009.5255063
