Title :
Statistical independence in three-variables contingency cube
Author :
Tsumoto, Shusaku ; Hirano, Shoji
Author_Institution :
Dept. of Med. Inf., Shimane Univ., Izumo
Abstract :
This paper focuses on statistical independence of three variables in contingency data cube. 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 odds ratios. Thus, the determinants of 2 times 2-submatrices are regarded as special cases of odds ratios of multivarite cases.
Keywords :
matrix algebra; statistical analysis; contingency data cube; information granules; multivarite cases; statistical independence; submatrices; Biomedical informatics; Bismuth; Cognitive informatics; Data mining; Matrices; Probability; Statistics;
Conference_Titel :
Cognitive Informatics, 2008. ICCI 2008. 7th IEEE International Conference on
Conference_Location :
Stanford, CA
Print_ISBN :
978-1-4244-2538-9
DOI :
10.1109/COGINF.2008.4639203