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Volumn 46, Issue 2, 2001, Pages 114-128

Using bidding statistics to predict completed construction cost

Author keywords

[No Author keywords available]

Indexed keywords

CONSTRUCTION COSTS; CONSTRUCTION PROJECTS; EASE-OF-USE; HIGHWAY CONSTRUCTION; MEDIAN ABSOLUTE DEVIATION; NEURAL NETWORK MODEL; NEW JERSEY DEPARTMENT OF TRANSPORTATION; REGRESSION MODEL;

EID: 80052776562     PISSN: 0013791X     EISSN: 15472701     Source Type: Journal    
DOI: 10.1080/00137910108967565     Document Type: Article
Times cited : (12)

References (18)
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  • 6
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  • 7
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    • Neural networks in civil engineering. 1: Principals and understanding
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  • 8
    • 0002268578 scopus 로고
    • Bidding strategies and probabilities
    • Proceedings of the American Society of Civil Engineers ASCE.
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    • Gates, M.1
  • 10
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    • (1996) Journal of Construction Engineering and Management , vol.122 , Issue.3 , pp. 254-263
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    • Project capital cost risk and contracting strategies
    • AACE
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    • (1998) Cost Engineering
    • Keith, P.1    Hartman, F.T.2    Jergeas, G.F.3
  • 14
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    • Cost estimation predictive modeling: Regression versus neural network
    • Smith, Alice E., and Mason, Anthony K., "Cost Estimation Predictive Modeling: Regression Versus Neural Network," The Engineering Economist, Vol. 42, No. 2, 1997, pp. 137-161.
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  • 15
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    • Probablistic cost estimating with subjective correlations
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  • 17
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    • Modeling cost increases in competitively bid construction projects
    • The Royal Institution of Chartered Surveyors, Oxford, U.K., September
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.