• DocumentCode
    1605460
  • Title

    Statistical independence of three variables and contingency matrix

  • Author

    Tsumoto, Shusaku ; Hirano, Shoji ; Abe, Hidenao

  • Author_Institution
    Dept. of Med. Inf., Shimane Univ., Izumo
  • fYear
    2008
  • Firstpage
    1
  • Lastpage
    6
  • 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 x 2- submatrices, those of three variables consist of several combinations of determinants. Thus, even in the case of three attributes, 2 x 2 submatrices play an important role in measuring the degree of statistical independence.
  • Keywords
    determinants; matrix algebra; statistical analysis; contingency matrix; determinants; linear algebra; statistical independence; Biomedical informatics; Bismuth; Data mining; Linear algebra; Matrices; Probability; Statistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Information Processing Society, 2008. NAFIPS 2008. Annual Meeting of the North American
  • Conference_Location
    New York City, NY
  • Print_ISBN
    978-1-4244-2351-4
  • Electronic_ISBN
    978-1-4244-2352-1
  • Type

    conf

  • DOI
    10.1109/NAFIPS.2008.4531349
  • Filename
    4531349