• DocumentCode
    3238976
  • Title

    Regression Analysis of Intrinsic Linear Models with Automated Transformations of Monotone Predictors

  • Author

    Tysiak, Wolfgang

  • Author_Institution
    Appl. Sci. Dortmund Univ., Dortmund
  • fYear
    2005
  • fDate
    5-7 Sept. 2005
  • Firstpage
    620
  • Lastpage
    623
  • Abstract
    One of the problems in intrinsic linear models is the characterization of the necessary transformations. In this article we show a way to detect several monotone transformations (convex, concave, dummy variables) by means of logistic functions in the predictors.
  • Keywords
    linear systems; mathematics computing; regression analysis; transfer functions; automated transformations; intrinsic linear models; logistic functions; monotone predictors; regression analysis; Conferences; Data acquisition; Data analysis; Least squares methods; Linear regression; Logistics; Predictive models; Regression analysis; Shape; Tail; data analysis; intrinsic linear models; least squares in the non-linear case; logistic transformation of predictors; regression analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2005. IDAACS 2005. IEEE
  • Conference_Location
    Sofia
  • Print_ISBN
    0-7803-9445-3
  • Electronic_ISBN
    0-7803-9446-1
  • Type

    conf

  • DOI
    10.1109/IDAACS.2005.283059
  • Filename
    4062210
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3238976