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