Contingency matrix theory: statistical dependence in a contingency table

DOI10.1016/j.ins.2008.11.023zbMath1176.68168OpenAlexW1982251472MaRDI QIDQ833738

Shusaku Tsumoto

Publication date: 14 August 2009

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2008.11.023

zbMATH Keywords

linear algebrastatistical independencecontingency matrixsimpson's paradox

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Contingency tables (62H17)

Related Items (3)

Divergence statistics for testing uniform association in cross-classifications ⋮ On mathematical optimization for clustering categories in contingency tables ⋮ The superiority of three-way decisions in probabilistic rough set models

Cites Work

• Rough sets: some extensions
• Rough sets and Boolean reasoning
• Maximal consistent extensions of information systems relative to their theories
• Rough sets and intelligent data analysis
• Chance discoveries in real world decision making. Data-based interaction of human intelligence and artificial intelligence
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