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Using bidding statistics to predict completed construction cost
Michael G. Wright
, Trefor P. Williams
School of Engineering, Civil & Environmental Engineering
Research output
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Contribution to journal
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Article
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peer-review
12
Scopus citations
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Dive into the research topics of 'Using bidding statistics to predict completed construction cost'. Together they form a unique fingerprint.
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Keyphrases
Construction Cost
100%
Neural Network Model
66%
New Jersey
33%
Best Predictor
33%
Regression Model
33%
Department of Transportation
33%
Construction Projects
33%
Highway Construction
33%
Cost-based
33%
Median Absolute Deviation
33%
Lowest Bid
33%
Regression Network
33%
Bid Construction
33%
Engineering
Construction Cost
100%
Network Model
66%
Highway Construction
33%
Absolute Deviation
33%