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主成分分析在我国房价模型中的应用——以江西萍乡住宅项目数据为例
引用本文:漆勇方,李良松.主成分分析在我国房价模型中的应用——以江西萍乡住宅项目数据为例[J].萍乡高等专科学校学报,2013(3):9-12,17.
作者姓名:漆勇方  李良松
作者单位:萍乡学院,江西萍乡337000
摘    要:特征价格模型(HPM)研究起源于20世纪三十年代,其中Court的研究最为卓越,经过几十年的研究,特征价格模型(HPM)在国外已逐步形成了一套完整的科学体系,并具有广泛的应用。而国内研究的展开仅有十多年的历史。本文以萍乡市18个建设项目为研究对象,利用SPSS对所搜集的数据进行了主成分分析,采用回归分析的方法建立了特征价格模型,通过对模型的分析说明结果的可行性和有效性。

关 键 词:房地产估价  特征价格模型  主成分分析

Application of Principal Component Analysis in Chinese Housing Price Model
Qi Yongfang,Li Liangsong.Application of Principal Component Analysis in Chinese Housing Price Model[J].Journal of Pingxiang College,2013(3):9-12,17.
Authors:Qi Yongfang  Li Liangsong
Institution:(Pingxiang University, Pingxiang 337000, China)
Abstract:Hedonic price model (HPM) research began in the 1930s, and the study of Court is the most outstanding. After decades of research in foreign countries, the hedonic price model (HPM) has gradually established a complete scientific system, which has been widely used. The research in China has only begun in recent ten years. Based on 18 construction projects in Pingxiang City, with SPSS the paper analyzes the principal components of the data obtained, establishing the hedonic price model through the method of regression analysis and proving the feasibility and effectiveness by analyzing the model.
Keywords:real estate evaluation: housing price model: principal component analysis
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