Prediction for Chinas Population via Different Regression Models

摘要：

In this paper, we investigate Chinas population data in 1950-2010 and predict the values of both sexes population respectively in 2011-2030 in the 95 percent confidence level. Firstly, we derive linear, exponential and logarithmic regression models respectively for both sexes population. Through comparative analysis of the data, we identify the most suitable regression function. Secondly, we divide long period into more detailed intervals. By virtue of the Mathematica software, we analyze the population data and then obtain the best fitting subsection regression function. Consequently, a more accurate prediction for Chinas population is achieved.

关键词： Nonlinear Regression Subsection regression function Prediction for population

作者: Jianli Cao Wantang Jiao

作者单位: College of Science, Henan University of Technology, Zhengzhou, Henan, 450001, PR China

会议类型: 国际会议

会议名称: 2010 International Conference on Probability and Statistics of the International Institute for General Systems Studies(国际一般系统理论研究会中国概率统计学会第二届学术会议IIGSS-CPS2010)

会议地点: 南京

会议语种:英文

页码: 241-243

在线出版日期: 2010-07-29（万方平台首次上网日期，不代表论文的发表时间）