DocumentCode
2143292
Title
Information Granules of Statistical Dependence in Multiway Contingency Tables
Author
Tsumoto, Shusaku ; Hirano, Shoji
Author_Institution
Dept. of Med. Inf., Shimane Univ., Izumo, Japan
fYear
2010
fDate
14-16 Aug. 2010
Firstpage
483
Lastpage
488
Abstract
This paper focuses on residual analysis of statistical independence of multiple variables from the viewpoint of linear algebra. The results show that multidimensional residuals are represented as linear sum of determinants of 2 × 2 submatrices, which can be viewed as information granules measuring the degree of statistical dependence.
Keywords
determinants; statistical analysis; information granule; linear algebra; linear determinant sum; multidimensional residual; multiway contingency table; residual analysis; statistical dependence; Context; Data mining; Equations; Mathematical model; Matrices; Probability; Pearson residual; contingency table; information granules; statistical independence;
fLanguage
English
Publisher
ieee
Conference_Titel
Granular Computing (GrC), 2010 IEEE International Conference on
Conference_Location
San Jose, CA
Print_ISBN
978-1-4244-7964-1
Type
conf
DOI
10.1109/GrC.2010.94
Filename
5575971
Link To Document