Abstract
This paper focuses on statistical independence of three variables from the viewpoint of linear algebra. While information granules of statistical independence of two variables can be viewed as determinants of 2 ×2- submatrices, those of three variables consist of linear combination of odds ratios.
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Coxeter, H. (ed.): Projective Geometry, 2nd edn. Springer, New York (1987)
Tsumoto, S., Hirano, S.: Meaning of pearson residuals - linear algebra view. In: Proceedings of IEEE GrC 2007. IEEE press, Los Alamitos (2007)
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© 2008 Springer-Verlag Berlin Heidelberg
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Tsumoto, S., Hirano, S. (2008). Statistical Independence of Multi-variables from the Viewpoint of Linear Algebra. In: Chan, CC., Grzymala-Busse, J.W., Ziarko, W.P. (eds) Rough Sets and Current Trends in Computing. RSCTC 2008. Lecture Notes in Computer Science(), vol 5306. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88425-5_11
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DOI: https://doi.org/10.1007/978-3-540-88425-5_11
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-88423-1
Online ISBN: 978-3-540-88425-5
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