DocumentCode
1605460
Title
Statistical independence of three variables and contingency matrix
Author
Tsumoto, Shusaku ; Hirano, Shoji ; Abe, Hidenao
Author_Institution
Dept. of Med. Inf., Shimane Univ., Izumo
fYear
2008
Firstpage
1
Lastpage
6
Abstract
This paper focuses on statistical independence of three variables from the viewpoint of linear algebra. While information granules of statistical independence of two variables can be viewed as determinants of 2 x 2- submatrices, those of three variables consist of several combinations of determinants. Thus, even in the case of three attributes, 2 x 2 submatrices play an important role in measuring the degree of statistical independence.
Keywords
determinants; matrix algebra; statistical analysis; contingency matrix; determinants; linear algebra; statistical independence; Biomedical informatics; Bismuth; Data mining; Linear algebra; Matrices; Probability; Statistics;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Information Processing Society, 2008. NAFIPS 2008. Annual Meeting of the North American
Conference_Location
New York City, NY
Print_ISBN
978-1-4244-2351-4
Electronic_ISBN
978-1-4244-2352-1
Type
conf
DOI
10.1109/NAFIPS.2008.4531349
Filename
4531349
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