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Proceedings Paper

Granularity and statistical independence in a contingency table
Author(s): Shusaku Tsumoto
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Paper Abstract

This paper gives a relations between the degree of granularity and that of dependence of contingency tables. From the results of determinantal divisors, it seems that the devisors provide information on the degree of dependencies between the matrix of the whole elements and its submatrices and the increase of the degree of granularity may lead to that of dependence. However, this paper shows that a constraint on the sample size of a contingency table is very strong, which leads to the evaluation formula where the increase of degree of granularity gives the decrease of dependency.

Paper Details

Date Published: 28 March 2005
PDF: 12 pages
Proc. SPIE 5812, Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2005, (28 March 2005); doi: 10.1117/12.604977
Show Author Affiliations
Shusaku Tsumoto, Shimane Univ. School of Medicine (Japan)


Published in SPIE Proceedings Vol. 5812:
Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2005
Belur V. Dasarathy, Editor(s)

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