摘要
住房产业区域性强,影响因素多。本文根据武汉市1998年以来的相关资料,运用专家调查法以及灰色理论,确定武汉市住房需求的主要影响因素;运用线性回归理论、幂函数理论,建立多种住房需求预测模型;运用SPSS软件对模型进行模拟、检验、对比分析,选择恰当的居民住房需求模型,对武汉市"十一五"期间居民住房需求进行预测。
Housing industry carries with it a distinctive local flavor, influenced by many factors. This article, based on the data since of 1998, attempts to determine the major factors that influence the housing needs in Wuhan City by means of survey and grey theory. Many models for predicting the housing needs are established with the help of linear regression theory and power function theory. SPSS software is employed for the simulation, testing, and contrastive analysis, on the basis of which an appropriate model is chosen and the prediction of the housing needs of the inhabitants in Wuhan City during the llth five-year period is made.
出处
《武汉科技大学学报（社会科学版）》
2007年第6期565-569,共5页
Journal of Wuhan University of Science and Technology:Social Science Edition
关键词
住房需求
预测模型
回归分析
housing need
prediction model
regressive analysis
