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
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;
Conference_Titel :
Quality, Reliability, Risk, Maintenance, and Safety Engineering (ICQR2MSE), 2012 International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4673-0786-4
DOI :
10.1109/ICQR2MSE.2012.6246386