• DocumentCode
    2473093
  • Title

    Typical values for preclustered data

  • Author

    Kandel, Abraham ; Friedman, Menahem

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Univ. of South Florida, Tampa, FL, USA
  • fYear
    1995
  • fDate
    20-23 Feb 1995
  • Firstpage
    262
  • Lastpage
    264
  • Abstract
    Quite often, a given data set seems to have a “typical value” although its expected value fails to represent it. In this case, it is suggested to replace the classical “expected value” (EV) and “standard deviation” (SD) by the “weighted expected value” (WEV) and weighted deviation (WD). The WEV which represents the “most typical value” of the given data, is a solution to an associated nonlinear equation. The WD is derived explicitly from the data and the WEV and measures the latter´s “grade of typicality”
  • Keywords
    data handling; nonlinear equations; statistical analysis; associated nonlinear equation; data set; grade of typicality; most typical value; preclustered data; standard deviation; typical values; weighted deviation; weighted expected value; Arithmetic; Computer science; Data engineering; Data structures; Measurement standards; Nonlinear equations; Statistics; TV; Terminology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence for Applications, 1995. Proceedings., 11th Conference on
  • Conference_Location
    Los Angeles, CA
  • Print_ISBN
    0-8186-7070-3
  • Type

    conf

  • DOI
    10.1109/CAIA.1995.378814
  • Filename
    378814