• DocumentCode
    3062275
  • Title

    A Nonparametric Trend Model for Henan´s GDP

  • Author

    Wu, Xinqian ; Yang, Wancai ; Mei, Qianqian

  • Author_Institution
    Sch. of Math. & Stat., Henan Univ. of Sci. & Technol., Luoyang, China
  • fYear
    2012
  • fDate
    23-26 June 2012
  • Firstpage
    325
  • Lastpage
    328
  • Abstract
    In order to quantitatively understand the trend of Henan´s GDP in the period of the Twelfth Five-Year Plan, a nonparametric regression model is established based on polynomial spline method in this paper. The fitting average absolute relative error is 8.38%. Comparative analysis illustrates that the proposed model has strong predictive ability. Prediction results show that the average annual growth rate is about 11.07% during the 12th Five-Year Plan. Henan´s ecomony will still keep steady and rapid development.
  • Keywords
    economic indicators; nonparametric statistics; regression analysis; Henan GDP; average annual growth rate; comparative analysis; nonparametric regression model; nonparametric trend model; polynomial spline method; strong predictive ability; twelfth five-year plan; Economic indicators; Fitting; Mathematical model; Polynomials; Predictive models; Splines (mathematics); Henan province; Twelfth Five-Year; gross domestic product; nonparametric regression; spline;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Sciences and Optimization (CSO), 2012 Fifth International Joint Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4673-1365-0
  • Type

    conf

  • DOI
    10.1109/CSO.2012.79
  • Filename
    6274737