{"title":"基于SPSS主成分分析和因子分析的中国城市综合竞争力研究","authors":"Niu Dong-xiao, Tian Jie, Ji Ling","doi":"10.1109/ICSESS.2011.5982478","DOIUrl":null,"url":null,"abstract":"Factor analysis and principal component analysis are commonly used in multivariate statistical analysis. This paper has shown similarities and differences of principal component analysis and factor analysis in mathematical model and solution procedure. And we select some important indexes of Chinese cities comprehensive competitiveness, use economics software SPSS to carry on the principal component analysis and factor analysis, and get comprehensive score. At last, we analyze the influential factors of cities competitiveness to provide support and protection for the development of cities.","PeriodicalId":108533,"journal":{"name":"2011 IEEE 2nd International Conference on Software Engineering and Service Science","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Notice of RetractionResearch on Chinese cities comprehensive competitiveness based on principal component analysis and factor analysis in SPSS\",\"authors\":\"Niu Dong-xiao, Tian Jie, Ji Ling\",\"doi\":\"10.1109/ICSESS.2011.5982478\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Factor analysis and principal component analysis are commonly used in multivariate statistical analysis. This paper has shown similarities and differences of principal component analysis and factor analysis in mathematical model and solution procedure. And we select some important indexes of Chinese cities comprehensive competitiveness, use economics software SPSS to carry on the principal component analysis and factor analysis, and get comprehensive score. At last, we analyze the influential factors of cities competitiveness to provide support and protection for the development of cities.\",\"PeriodicalId\":108533,\"journal\":{\"name\":\"2011 IEEE 2nd International Conference on Software Engineering and Service Science\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-07-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 IEEE 2nd International Conference on Software Engineering and Service Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSESS.2011.5982478\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE 2nd International Conference on Software Engineering and Service Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSESS.2011.5982478","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Notice of RetractionResearch on Chinese cities comprehensive competitiveness based on principal component analysis and factor analysis in SPSS
Factor analysis and principal component analysis are commonly used in multivariate statistical analysis. This paper has shown similarities and differences of principal component analysis and factor analysis in mathematical model and solution procedure. And we select some important indexes of Chinese cities comprehensive competitiveness, use economics software SPSS to carry on the principal component analysis and factor analysis, and get comprehensive score. At last, we analyze the influential factors of cities competitiveness to provide support and protection for the development of cities.
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