• DocumentCode
    2544925
  • Title

    Contingency matrix theory

  • Author

    Tsumoto, Shusaku ; Hirano, Shoji

  • Author_Institution
    Shimane Univ., Izumo
  • fYear
    2007
  • fDate
    7-10 Oct. 2007
  • Firstpage
    3778
  • Lastpage
    3783
  • Abstract
    A contingency table summarizes the conditional frequencies of two attributes and shows how these two attributes are dependent on each other with the information on a partition of universe generated by these attributes. This paper discusses statistical independence in a contingency table from the viewpoint of matrix theory. Statistical independence is equivalent to linear dependence of all columns or rows. Also, the equations of statistical independence are equivalent to those on collinearity of projective geometry.
  • Keywords
    geometry; matrix algebra; statistics; contingency table; linear dependence; matrix theory; projective geometry; statistical independence; Data mining; Equations; Frequency; Geometry; Information systems; Matrices; Probability; Rough sets; Statistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics, 2007. ISIC. IEEE International Conference on
  • Conference_Location
    Montreal, Que.
  • Print_ISBN
    978-1-4244-0990-7
  • Electronic_ISBN
    978-1-4244-0991-4
  • Type

    conf

  • DOI
    10.1109/ICSMC.2007.4413917
  • Filename
    4413917