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基于多元统计分析的建设工程项目投资估算方法研究
Study on Investment Estimation Method for Construction Projects Based on Multivariate Analysis
【摘要】 在建设工程项目生命周期的多次计价中,投资估算是最粗略的,但却又是对整个项目影响最大的。然而,由于其所处的阶段比较靠前,且工程执行过程的不可预见性,使得项目投资估算的编制显得十分困难,因此,找到一种切实可行的建设工程项目快速投资估算方法就有着非常深远的意义。故应用多元回归分析方法,借助于R软件,在大量历史数据的基础上,建立回归模型并拟合回归方程,使用Box-Cox变换对该回归方程进行多次修正,通过历史数据与模型预测数据的对照,验证了其模型的可靠性。
【Abstract】 The investment estimation is the most unshaped one as well as the most influential one among all the evaluations during the long period of construction project.But it is difficult to estimate the investment because of its preliminary position and the situation that many unpredictable factors which influence the construction cost might appear in the operating of the whole project.So it is vital to find a feasible method that could be used for investment estimation of construction projects.Based on great amount of testing data,this paper developed a investment estimation model and drafted a regressive equation,using the method of multiple statistics analysis through R software.Then the regressive equation was amended for several times through the approach named Box-Cox transformation.At last,the investment estimation model and regressive equation were approved to be reliable by the comparison between the testing data and the calculated forecasting figures.
【Key words】 construction project; investment estimation; multiple regressive analysis; Box-Cox transformation;
- 【文献出处】 统计与信息论坛 ,Statistics & Information Forum , 编辑部邮箱 ,2010年04期
- 【分类号】F284
- 【被引频次】24
- 【下载频次】649