DocumentCode
2131092
Title
Statistical Independence and Contingency Matrix
Author
Tsumoto, Shusaku ; Hirano, Shoji
Author_Institution
Dept. of Med. Inf., Shimane Univ., Izumo
fYear
2008
fDate
15-19 Dec. 2008
Firstpage
643
Lastpage
648
Abstract
This paper shows the meaning of Pearson residuals as an indicator of statistical independence. While information granules of statistical independence of two variables can be viewed as determinants of 2times2-submatrices, those of three variables consist of several combinations of linear equations which will become residuals for odds ratio (outer products) when they are equal to 0. Interestingly, the residuals can be an expansion series of the product of marginal distributions and the residuals for odds ratio (outer products).
Keywords
matrix algebra; series (mathematics); statistical distributions; Pearson residual; contingency matrix; information granules; linear equation; marginal distribution; statistical independence; Biomedical informatics; Bismuth; Conferences; Data mining; Equations; Matrices; Probability; Statistical distributions; Pearson residuals; contingency table; matrix theory; statistical independence;
fLanguage
English
Publisher
ieee
Conference_Titel
Data Mining Workshops, 2008. ICDMW '08. IEEE International Conference on
Conference_Location
Pisa
Print_ISBN
978-0-7695-3503-6
Electronic_ISBN
978-0-7695-3503-6
Type
conf
DOI
10.1109/ICDMW.2008.94
Filename
4733989
Link To Document