• DocumentCode
    2700999
  • Title

    Economic efficiency of enterprises assessment based on multivariate statistical analysis method

  • Author

    Min, Hu ; Huang, Xuwei

  • Author_Institution
    Zhejiang Ind. Polytech. Coll., Shaoxing, China
  • fYear
    2012
  • fDate
    15-18 June 2012
  • Firstpage
    971
  • Lastpage
    974
  • Abstract
    This paper describes a multivariate statistical analysis technique for enterprises economic efficiency assessment. Using this method to provide a scientific basis for enterprises decision-making is of great significance to improving enterprises economic performance.As the main two methods of multivariate statistical, principal component analysis and cluster analysis methods have been applied in the data statistical analysis involving 15 enterprises. The analysis results have been mutual comparison and validation by using these two methods. After analyzing 7 economic benefit data indicators of the 15 enterprises, the operating conditions, impact factor and solution of these enterprises have been studied.
  • Keywords
    data analysis; economics; principal component analysis; cluster analysis methods; data statistical analysis; enterprises decision-making; enterprises economic efficiency assessment; impact factor; multivariate statistical analysis method; operating conditions; principal component analysis; Analytical models; Correlation; Covariance matrix; Economics; Matrix decomposition; Principal component analysis; cluster analysis; multivariate statistical analysis; non-linear economic efficiency assessment; principal component analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Quality, Reliability, Risk, Maintenance, and Safety Engineering (ICQR2MSE), 2012 International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4673-0786-4
  • Type

    conf

  • DOI
    10.1109/ICQR2MSE.2012.6246386
  • Filename
    6246386