• DocumentCode
    393699
  • Title

    Robust interval regression analysis based on Minkowski difference

  • Author

    Inuiguchi, Masahiro ; Fujita, Haruki ; Tanino, Tetsuzo

  • Author_Institution
    Osaka City Univ., Japan
  • Volume
    4
  • fYear
    2002
  • fDate
    5-7 Aug. 2002
  • Firstpage
    2346
  • Abstract
    In this paper, we propose robust interval regression methods based on Minkowski difference. In the previous interval regression methods, the estimated interval function is strongly influenced by some outliers. We introduce M-estimators developed in robust regression to interval regression methods and propose interval regression techniques whose resulting estimated interval functions are not strongly influenced by some outliers.
  • Keywords
    statistical analysis; Minkowski difference; estimated interval function; interval functions; interval regression methods; robust interval regression analysis; Bridges; Least squares methods; Linear programming; Minimization methods; Parameter estimation; Quadratic programming; Regression analysis; Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    SICE 2002. Proceedings of the 41st SICE Annual Conference
  • Print_ISBN
    0-7803-7631-5
  • Type

    conf

  • DOI
    10.1109/SICE.2002.1195774
  • Filename
    1195774