A Bayesian approach for forecasting errors of budget cost estimates
Accurate estimation of budget costs is critical for effective management of construction projects. The performance of various management functions is dependent on the accuracy of the estimates throughout the construction phase. These estimates, however, inevitably involve a considerable amount of e...
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Vilnius Gediminas Technical University
2016-03-01
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| Series: | Journal of Civil Engineering and Management |
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| Online Access: | http://journals.vgtu.lt/index.php/JCEM/article/view/1288 |
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doaj-0941d2a604914d5d8467070aa5a8459e2021-07-02T11:52:24ZengVilnius Gediminas Technical UniversityJournal of Civil Engineering and Management1392-37301822-36052016-03-0122210.3846/13923730.2014.897981A Bayesian approach for forecasting errors of budget cost estimatesSeokyon Hwang0Reese Construction Management Program, Lamar University, P.O. Box 10565, Beaumont, TX 77710, USA Accurate estimation of budget costs is critical for effective management of construction projects. The performance of various management functions is dependent on the accuracy of the estimates throughout the construction phase. These estimates, however, inevitably involve a considerable amount of error, which imperatively requires the evaluation of budget cost estimates and the measurement of errors associated with the estimates. Applying an analytical procedure, this study carried out a thorough statistical analysis of existing practice in the construction industry to identify limitations of the practice. As an alternative to the practice, a Bayesian approach was found to be more appropriate than the industry common practice to account for the probabilistic nature of estimates and to forecast errors associated with the budget estimates. A scenario-based example is included to demonstrate application of the analytical procedure for analysing historical cost performance data that are readily available in most construction companies. First published online: 27 Aug 2015 http://journals.vgtu.lt/index.php/JCEM/article/view/1288cost estimatingestimate errorsBayesian approachrisk managementcost contingency |
| collection |
DOAJ |
| language |
English |
| format |
Article |
| sources |
DOAJ |
| author |
Seokyon Hwang |
| spellingShingle |
Seokyon Hwang A Bayesian approach for forecasting errors of budget cost estimates Journal of Civil Engineering and Management cost estimating estimate errors Bayesian approach risk management cost contingency |
| author_facet |
Seokyon Hwang |
| author_sort |
Seokyon Hwang |
| title |
A Bayesian approach for forecasting errors of budget cost estimates |
| title_short |
A Bayesian approach for forecasting errors of budget cost estimates |
| title_full |
A Bayesian approach for forecasting errors of budget cost estimates |
| title_fullStr |
A Bayesian approach for forecasting errors of budget cost estimates |
| title_full_unstemmed |
A Bayesian approach for forecasting errors of budget cost estimates |
| title_sort |
bayesian approach for forecasting errors of budget cost estimates |
| publisher |
Vilnius Gediminas Technical University |
| series |
Journal of Civil Engineering and Management |
| issn |
1392-3730 1822-3605 |
| publishDate |
2016-03-01 |
| description |
Accurate estimation of budget costs is critical for effective management of construction projects. The performance of various management functions is dependent on the accuracy of the estimates throughout the construction phase. These estimates, however, inevitably involve a considerable amount of error, which imperatively requires the evaluation of budget cost estimates and the measurement of errors associated with the estimates. Applying an analytical procedure, this study carried out a thorough statistical analysis of existing practice in the construction industry to identify limitations of the practice. As an alternative to the practice, a Bayesian approach was found to be more appropriate than the industry common practice to account for the probabilistic nature of estimates and to forecast errors associated with the budget estimates. A scenario-based example is included to demonstrate application of the analytical procedure for analysing historical cost performance data that are readily available in most construction companies.
First published online: 27 Aug 2015
|
| topic |
cost estimating estimate errors Bayesian approach risk management cost contingency |
| url |
http://journals.vgtu.lt/index.php/JCEM/article/view/1288 |
| work_keys_str_mv |
AT seokyonhwang abayesianapproachforforecastingerrorsofbudgetcostestimates AT seokyonhwang bayesianapproachforforecastingerrorsofbudgetcostestimates |
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1721330610183602176 |