• DocumentCode
    3511884
  • Title

    Research of the Regression Method Based on Quasi-linear Function

  • Author

    Li, Fa-chao ; Yang, Kuo

  • Author_Institution
    Sch. of Econ. & Manage., Hebei Univ. of Sci. & Technol., Shijiazhuang, China
  • Volume
    2
  • fYear
    2010
  • fDate
    23-24 Oct. 2010
  • Firstpage
    373
  • Lastpage
    377
  • Abstract
    Regression analysis, which is an effective tool of scientific prediction and management, is an important branch of statistics. According to the analysis of the current regression, we establish a quasi-linear regression model (QRM) based on the concept of quasi-linear function. Then, we got the solution of QRM by combining with genetic algorithm (GA). And its characteristic is proved through an example. The results show that QRM not only includes the current methods of regression, but also has a good operability. Different parameters can be set to reflect the different decision-making consciousness. Beyond prediction and management, the application of QRMis becoming more and more widespread.
  • Keywords
    decision making; genetic algorithms; regression analysis; QRMis; decision making; genetic algorithm; quasilinear function; quasilinear regression model; regression analysis; scientific management; scientific prediction; genetic algorithm (GA); least square method (LSM); prediction; quasilinear function; regression;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Web Information Systems and Mining (WISM), 2010 International Conference on
  • Conference_Location
    Sanya
  • Print_ISBN
    978-1-4244-8438-6
  • Type

    conf

  • DOI
    10.1109/WISM.2010.36
  • Filename
    5662989