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 :
بازگشت