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Preparation of Incongruous Economic Datasets for Regression Analysis
Datasets in construction engineering and management are not always as clean and consistent as one would desire. They may not match in format or content between companies that are studied and within them they may require substantial preparation. This makes the examination of theories and the extrapolation of trends from historic data more difficult than it is for carefully controlled experimental studies or collection of new data. The purpose of this paper is not to review the regression models that the writers developed during their research, but to focus on the data preparation that had to be applied prior to those analyses. It outlines general techniques that can be applied to field data from construction companies or data repositories to give researchers various best practices that will help gleaning further truths from already existing data.
Preparation of Incongruous Economic Datasets for Regression Analysis
Datasets in construction engineering and management are not always as clean and consistent as one would desire. They may not match in format or content between companies that are studied and within them they may require substantial preparation. This makes the examination of theories and the extrapolation of trends from historic data more difficult than it is for carefully controlled experimental studies or collection of new data. The purpose of this paper is not to review the regression models that the writers developed during their research, but to focus on the data preparation that had to be applied prior to those analyses. It outlines general techniques that can be applied to field data from construction companies or data repositories to give researchers various best practices that will help gleaning further truths from already existing data.
Preparation of Incongruous Economic Datasets for Regression Analysis
Lucko, Gunnar (Autor:in) / Mitchell, Jr., Zane W. (Autor:in)
Construction Research Congress 2009 ; 2009 ; Seattle, Washington, United States
Building a Sustainable Future ; 1115-1124
01.04.2009
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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