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Time-cost relationship of building projects: statistical adequacy of categorization with respect to project location

机译：建筑项目的时间-成本关系：关于项目位置的分类统计充分性

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摘要

Construction duration is one of the key elements to determine the success of a project. Several models have been developed to provide precise predictions of construction duration. The datasets in previous studies comprise observations from particular countries. This precludes examination of the role of project location at the country level for modelling construction duration. The aim, therefore, is to test the statistical adequacy of categorizing projects with respect to their locations for modelling construction duration. A formal procedure to evaluate the adequacy of categorizing observations is also presented. It is intended to contribute to the epistemology of modelling construction duration. The dataset was generated from a global client. It contains information on 246 projects from 25 different countries. This creates a categorical variable for location. Bromilow's time-cost model is chosen to assess the adequacy of this categorization. A full model with indicator and interaction variables is compared to a restricted one. Parameter estimation was performed according to the ordinary least squares method. F-statistics are calculated and the probability of the value is significant. The results show that two distinct groups with substantial changes in model parameters exist in the dataset. It is also noted that conclusions are valid over the selected population.
机译：建设工期是决定项目成功与否的关键因素之一。已经开发了几种模型来提供对工期的精确预测。先前研究中的数据集包括来自特定国家的观察结果。这就排除了在国家一级检查项目位置对建模工期的作用。因此，目的是为了测试对项目进行分类的统计适当性，以对项目的工期进行建模。还提出了一种评估观察分类是否适当的正式程序。它旨在有助于对构建工期进行建模的认识论。数据集是从全局客户端生成的。它包含来自25个不同国家的246个项目的信息。这将为位置创建一个分类变量。选择Bromilow的时间成本模型来评估这种分类的适当性。将具有指标和交互变量的完整模型与受限模型进行比较。根据普通最小二乘法进行参数估计。计算F统计量，并且该值的可能性很大。结果表明，在数据集中存在两个模型参数发生重大变化的不同组。还应注意，结论在所选人群中有效。

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