The Cluster Analysis of Multivariable Panel Data and its Application

Article Preview

Abstract:

The research on statistical analysis of multivariable panel data is a blank in China. The paper tries to do the basal study on cluster analysis of multivariable panel data. This paper firstly analyses the numeric characteristic and constructs anew the distance function of multivariable panel data and the function of sum of squares. On this base, the paper explains the arithmetic and process of cluster analysis. At last, an experimental analysis is done on productive efficiency of the industrial enterprises in China.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

2668-2671

Citation:

Online since:

November 2012

Authors:

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2012 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Cheng Hsiao. Analysis of Panel Data[M]. Cambridge: Cambridge University Press, (1986)

Google Scholar

[2] Bonzo D. C, Hermosilla A.Y. Cluster Panel Data Via Perturbed Adaptive Simulated Annealing and Genetic Algorithms [J]. Advances in Complex Systems, 2002,(4), pp.339-360

DOI: 10.1142/s0219525902000559

Google Scholar

[3] Zhu Jianping & Chen Minken. The Cluster Analysis of Panel Data and Its Application[J]. Statistical Research, 2007, (4), pp.11-14

Google Scholar

[4] He xiaoqun. The Multivariable Analysis[M]. Beijing: People's University of China Press, (2004)

Google Scholar

[5] NIE Xiu-dong, WANG Zhi-gang. The Regional Technical Efficiency Difference in China:1978-1999[J]. Journal of Shanxi Finance and Economics University, 2006, (2), pp.27-32

Google Scholar

[6] NIU Shu-hai. A Research of the Regional Difference in the Production Efficiency of Different Types of Industrial Enterprises in Our Country [J]. Economic Survey, 2006, (6), pp.47-49

Google Scholar