| 房产需求量中的若干数学模型和研究 |
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| 引用本文： | 汪洁瑾,袁姗姗,黄萃琳.房产需求量中的若干数学模型和研究[J].应用数学与计算数学学报,2008,22(2). |
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| 作者姓名： | 汪洁瑾 袁姗姗 黄萃琳 |
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| 作者单位： | 1. 上海大学理学院数学系,上海,200444
2. 济光职业技术学院,上海,201901 |
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| 基金项目： | 易居(中国)房地产研究院资助项目
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| 摘 要： | 本文是继2006年研究项目“上海市基础房价走势”后的又一后续课题．其宗旨是研究、预测2007年上海市住宅需求量．基于易居（中国）房地产研究院所提供的数据，本文在数据相关性分析基础上，建立了二个预测模型，每个模型分别用2种方法得出结果，以便验证并消除系统误差．模型一：回归模型．分别利用主成分分析基础上的回归以及逐步回归法．模型二：核密度函数模型．通过核估计以及核回归，进行预测．本文模型具有一定的可操作性，使用简便．所得结果得到有关专家的论证和确认．
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| 关 键 词： | 主成分分析 逐步回归 Parzen核估计 Nadaraya-Watson核回归 |
Model Establishment and Research on Consumption Capability of Real Estate |
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| Wang Jiejin,Yuan Shanshan,Huang Cuilin.Model Establishment and Research on Consumption Capability of Real Estate[J].Communication on Applied Mathematics and Computation,2008,22(2). |
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| Authors: | Wang Jiejin Yuan Shanshan Huang Cuilin |
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| Institution: | Wang Jiejin~1 Yuan Shanshan~2 Huang Cuilin~1 Department of Mathematics,Shanghai University,Shanghai 200444,China The college of Jiguang Vocation , Technology,Shanghai 201901,China |
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| Abstract: | As a follow-up subject of Shanghai Real Estate Price Prediction Research in 2006,we aim to analyze and predict the consumption capability of the Real Estate in 2007.Based on the data offered by E-house China R&D Institute,we established two kinds of predict models after the correlation analysis.To eliminate the system error of the model,two methods were used in each model to predict the results.Model one is a regression model,separately using the principal components analysis method and stepwise regression ... |
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| Keywords: | principal components analysis stepwise regression parzen kernel density estimation Nadaraya-Watson kernel regression |
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