Principal Component Analysis and Cluster Analysis on the Development of Automobile Industry in Northeast

被引:0
作者
Xu Jiang [1 ]
Cao Zhongwei [2 ]
机构
[1] Jilin Univ Finance & Econm, Coll Stat, Jilin 130117, Peoples R China
[2] Jilin Univ Finance & Econm, Coll Math, Jilin 130117, Peoples R China
来源
RECENT ADVANCE IN STATISTICS APPLICATION AND RELATED AREAS, PTS 1 AND 2 | 2011年
关键词
Principal component analysis; Cluster analysis; The three northeastern provinces; The automotive industry;
D O I
暂无
中图分类号
O1 [数学]; C [社会科学总论];
学科分类号
03 ; 0303 ; 0701 ; 070101 ;
摘要
The automotive industry has long been considered a pillar of national economic development. Based on statistical studies of the principal component analysis and cluster analysis, three provinces in Northeast China's automobile industry development were analyzed, results showed that the three provinces in northeast China provinces with varying degrees of development of automobile industry, auto industry in Jilin Province the most degree of development You, followed by Liaoning Province, Heilongjiang Province, the degree of development needs to be improved auto industry. At last, the development of Northeast China auto industry problems and coping strategies.
引用
收藏
页码:1068 / +
页数:2
相关论文
共 6 条
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  • [2] China Bureau of Statistics, 2006, CHIN AUT IND YB 2006
  • [3] China Bureau of Statistics, 2008, CHIN AUT IND YB 2008
  • [4] Hao Liren, 2003, SPSS USING STAT ANAL
  • [5] Li Rong, 2006, TECHNOLOGY PLAZA
  • [6] Xue Wei, 2004, SPSS STAT ANAL APPL