基于全面小康收入的统计分析  

Statistical Analysis Based on a Comprehensive Well-Off Income

作　　者：朱存斌[1] 

机构地区：[1]安徽大学数学科学学院,合肥233000

出　　处：《湖北第二师范学院学报》2013年第8期19-23,共5页Journal of Hubei University of Education

基　　金：国家自然科学基金项目(71171001);安徽高等学校省级自然科学研究重点项目(KJ2011A001)

摘　　要：通过2006-2012年全国统计年鉴中可支配收入、总收入、工资性收入、经营性收入、财产性收入和转移性收入数据分析,判断出收入差距状况,将收入划分为高、中高、中等、中低、低五类,利用模糊C均值聚类方法,将所给数据中每一年的收入划分为以上五类,运用Matlab软件进行聚类分析,运用Excel软件对数据分析处理,利用最小二乘法,拟合出洛伦兹曲线函数,对2012年我国的统计年鉴中的数据进行分析、筛选并整理,建立了人均收入模型,使用Excel统计目标数据,并根据国家提出的小康水平指标标准,将目标数据和标准指标值进行比较,得出我国目前所达到的小康水平状况。Based on Statistical Yearbook 2006 -2012 national disposable income, total income, wage income, business income, property income and transfer income data analysis, the income gap conditions are determined and the revenues are divided into such five levels as high, medium high, medium, medium low, and low, by fuzzy C-means clustering method. The data of each year revenues given are divided into the above five categories, and through the use of Matlab software clustering analysis, Excel software for data analysis and processing, the use of least squares method, and the Lorenz curve fitting function, 2012 statistical Yearbook data is filtered, sorted and analysed. Thus a model of per capita income is established. In comparison with the national indicators of well-off standard, by using the Excel statistical target data, the target data and standard index value show that China~ current situation of well-off level is achieved.

关 键 词：收入统计 模糊C均值聚类 洛伦兹曲线 曲线拟合 MATLAB 

分 类 号：O112[理学—数学]