• 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