长沙市商品房市场需求量的数理分析  

Mathematical Analysis of Changsha City Commodity House Market Demands

作　　者：刘轶[1] 龙程[1] 杨光[1] 杨鹏[1] 

机构地区：[1]长沙理工大学数学与计算科学学院,长沙410114

出　　处：《数学理论与应用》2015年第2期56-63,共8页Mathematical Theory and Applications

基　　金：湖南省教育厅科技项目(编号:11A008)资助

摘　　要：本文在归纳总结与长沙商品房市场需求量相关联的若干经济指标的基础上,利用灰色关联熵分析方法提炼出影响商品房需求量的主要因素,然后建立灰色多元线性回归预测模型.通过实际数据检验,该模型可行并且能有效预测未来长沙市商品房的市场需求量的变化.Based on gathering some economic indicators associated to Changsha city commodity house market de- mands, this paper firstly applies the gray relation entropy analysis method to extract some main influencing factors to the demands of commodity houses, and then uses those factors to establish a gray muhiple linear regression forecasting model. Empirical analysis with real data shows that the forecasting model is feasible and can effectively predict the commodity house market demands of Changsha city.

关 键 词：商品房市场 市场需求 灰色关联熵 预测模型 

分 类 号：F299.23[经济管理—国民经济] F224