• DocumentCode
    552520
  • Title

    The research about independence of random errors in quasi-linearity regression model

  • Author

    Song, Wei ; Jing, Ying ; Tong, Zhi-chen ; Li, Fa-chao

  • Author_Institution
    Sch. of Econ. & Manage., Hebei Univ. of Sci. & Technol., Shijiazhuang, China
  • Volume
    2
  • fYear
    2011
  • fDate
    10-13 July 2011
  • Firstpage
    887
  • Lastpage
    890
  • Abstract
    How to construct a regression model with good operability is the core of regression analysis. In this paper, by analyzing the efficiencies of the existing regression methods, we establish quasi-linear regression model (denoted by QRM for short) which has good structure and approximation properties; further we put forward the plan to test the independence of random errors based on residual analysis, and MATLAB gives the strategies; finally, we analyze the effectiveness of these discussions by an illustrative example.
  • Keywords
    approximation theory; random processes; regression analysis; MATLAB; approximation property; quasi-linearity regression model; random errors; residual analysis; Cybernetics; Fitting; Gaussian distribution; MATLAB; Machine learning; Mathematical model; Regression analysis; Quasi-linear function; Random errors; Regression analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics (ICMLC), 2011 International Conference on
  • Conference_Location
    Guilin
  • ISSN
    2160-133X
  • Print_ISBN
    978-1-4577-0305-8
  • Type

    conf

  • DOI
    10.1109/ICMLC.2011.6016809
  • Filename
    6016809