Title :
Statistical independence of multivariate 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. While information granules of statistical independence of two variables can be viewed as determinants of 2 times 2- submatrices, those of three variables consist of several combination s of determinants. However, this combination can be viewed as a linear sum over the all combinarial pairs of 2times2 -matrix, where 2times2 matrix form can be viewed as a fundamental granule for statistical independence.
Keywords :
linear algebra; statistical analysis; linear algebra; multivariate contingency tables; statistical independence; Biomedical informatics; Bismuth; Data mining; Information processing; Linear algebra; Matrices; Probability; Statistics;
Conference_Titel :
Fuzzy Information Processing Society, 2009. NAFIPS 2009. Annual Meeting of the North American
Conference_Location :
Cincinnati, OH
Print_ISBN :
978-1-4244-4575-2
Electronic_ISBN :
978-1-4244-4577-6
DOI :
10.1109/NAFIPS.2009.5156471