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主成份分析因子分析毕业论文终稿..doc

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主成份分析因子分析毕业论文终稿..doc

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主成份分析因子分析毕业论文终稿..doc

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文档介绍:学科分类号 110 黑龙江科技大学本科学生毕业论文题目主成分与因子分析对黑龙江省城市经济发展水平的评价 The ponents and factor analysis of urban economic development level evaluation of heilongjiang province 姓名学号院(系) 理学院专业、年级数学与应用数学指导教师 20 14年6月12日 I 摘要经济是指一个国家国民经济的总称。我们要提高某地方人民的生活水平, 要更好更快地发展某个地区,就必须充分了解这个地区现有的经济发展状况。因此,现有的经济发展状况研究对将来的发展有着非常重要的指导意义。主成分分析也称主分量分析,就是设法将原来指标重新组合成一组新的互相无关的几个综合指标来代替原来指标。因子分析是主成分分析的推广和发展, 它也是将具有错综复杂关系的变量综合为数量较少的几个因子,以再现原始变量与因子的相互关系,同时根据不同因子还可以对变量进行分类。主成分分析与因子分析都是多元分析中处理降维的一种统计方法。本文通过学****与查阅相关资料找到黑龙江省 12 个地级市的 10 个具有代表性指标,运用 spss 统计分析软件对这些指标进行主成分分析和因子分析得到特征值、方差贡献率及公共因子等相关数据。并利用这些数据对 12个市经济水平划分等级。关键词主成分分析因子分析经济 spss 统计分析软件 II Abstract Economy refers to the floorboard of the national economy ofa country. We will improve the level ofa local people's life, to somewhere better and faster development, we must fully understand the current situation of economic development. Therefore, the existing research on the development of future economic development has a very important guiding significance. ponent analysis (also called ponent analysis, is to try the original bined into a new set of prehensive index instead of the original index has nothing todo with each other, at the same time, according to the actual need to mend a few prehensive response as much as possible the original information of indicators. Isa generalization of the ponent analysis and factor analysis, it is also will have the intricate relationship between prehensive toa small number of several factors, and to recreate the relationship of the original variables and factor, at the same time according to different factors can also categorize variables,. ponent analysis and factor analysis isa multivariate analysis ofa statistical method of dealing with the dimension reduction. In this article, through learning and access to relevant data found nine representative indexes of12 cities in heilongjiang province, using the SPSS statistical analysis software to the indicators of ponent analysis and factor analysis of the characteristic value