1Bonzo D C, Hermosilla A Y. Clustering Panel Data via Perturbed Adaptive Simulated Annealing and Genetic Algorithms[J].Advances in Complex Systems, 2002, (4).
3Ren J, Shi Sh L. Muhivariable Panel Data Ordinal Clustering and Its Application in Competitive Strategy Identification of Appliance-wiring Listed Companies[C].International Conference on Management Science & Engineering (16th) , Moscow, Russia, 2009.
3Bonzo D.C,Hennoeilla A.Y.Clustering panel data via perturbed adaptive simulated annealing and genetic algorithms[J].Advances in Complex Systems,2002(4):339-360.
4Ben J,Shi Sh L.Multivarlable panel data ordinal clustering and its application in competitive strategy identification of appliance-wiring listed companies[C].International Conference on Management Science & Engineering(16th),Moscow,Russia,2009.253-258.
5Hsiao C.Analysis of Panel Data[M]．北京：北京大学出版社，2005．21-92．
6Hsiso T. P. and Chih Y. Y. Comparison of Linear and Nonlinear Models for Panel Data Forecasting: Debt Policy in Taiwan [J]. Review of Pacific Basin Financial Markets and Policies,2005(3):525-541.
7Bonzo D. C. and Hcrmosilla A. Y. Clustering Panel Data via Pertbed Adaptive Simulated Annealing and Genetic Algorithms [J]. Advances in Complex Systems, 2002(4) : 339-360.
8Ramsay J. O. and Silverman B. W. Functional Data Analysis [ M ]. New York: Springer-Verlag New York, Inc, 1997. 11-83.
7Bonzo D C, Hermosilla A Y. Clustering panel data via perturbed ataptive simulated annealing and genetic algorithms [J]. Advances in Complex Systems, 2002,(4): 339-360.
8David J S. The performance effects of congruence between product competitive strategies and pur- chasing management design [J]. Management Science, 2002, (4): 866-886.
9Bonzo D. C., Hermosilla A. Y. Clustering Panel Data via Perturbed Adaptive Simu|ated Annealing and Genetic Algorithms[J]. Advances in Complex Systems, 2002,(4).
