GRPLS regression on influencing factors on China’s economic growth
DOI:
Author:
Affiliation:

Clc Number:

Fund Project:

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
  • |
  • Comments
    Abstract:

    This paper constructed a new method —Gernenalized ridge partial least2squares regression (GRPLS) . It can not only effectively eliminate the multi2collinearity among the factors and overcome the shortcoming of the tradi2 tional methods , but also makes the model more steady and more strong to predict and analysis. Then , the GRPLS is applied to analysis the impact factors of economic growth on China. The conclusion can offer beneficial advice to work out steady and quickly increasing economic polices in China.

    Reference
    Related
    Cited by
Get Citation
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:
  • Revised:
  • Adopted:
  • Online:
  • Published:
You are the th visitor Address:Room 908, Building A, 25th Teaching Building, Tianjin University, 92 Weijin Road, Nankai District, Tianjin Postcode:300072
Telephone:022-27403197 Email:jmsc@tju.edu.cn