基于Logistic回归房地产预警研究  

Real estate early warning study based on Logistic regression

作　　者：吕思奇 秦喜文[1,2] 赵春阳[1] 董小刚[1] 李巧玲[1] 

机构地区：[1]长春工业大学基础科学学院,吉林长春130012 [2]长春工业大学研究生院,吉林长春130012

出　　处：《长春工业大学学报》2016年第6期603-606,共4页Journal of Changchun University of Technology

基　　金：国家自然科学基金项目(11301036;11226335);吉林省教育厅科研项目(2014第127号;2013第142号)

摘　　要：通过主成分分析对房地产市场预警模型的影响因素进行分析,运用线性回归模型和Logistic回归模型对长春市房地产市场进行预测,并得出Logistic回归模型对房地产市场进行预警的结果优于线性回归模型。针对长春市房地产运行现状,提出土地、经济、行政等方面的建议。We analyze the influential factors to the real estate market early warning model with Principal Component Analysis,and predict the real estate market in Changchun with both the linear regression model and Logistic regression model.It is suggested that the Logistic regression model is better than the linear regression model to give the real estate early warning.Our research can offer some references for the land,economic and administrative management based on real estate operation in Changchun.

关 键 词：房地产预警 主成分分析 LOGISTIC回归 

分 类 号：O29[理学—应用数学]