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    Dynamic Regression Models for Prediction of Construction Costs 

    Source: Journal of Construction Engineering and Management:;2009:;Volume ( 135 ):;issue: 005
    Author(s): Seokyon Hwang
    Publisher: American Society of Civil Engineers
    Abstract: Accurate prediction of construction costs in the market is essential to effectively estimate costs for construction projects. In the construction industry, cost indexes that are reported in series are often used to explain ...
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    Time Series Models for Forecasting Construction Costs Using Time Series Indexes 

    Source: Journal of Construction Engineering and Management:;2011:;Volume ( 137 ):;issue: 009
    Author(s): Seokyon Hwang
    Publisher: American Society of Civil Engineers
    Abstract: Construction often involves considerable time gaps between cost estimation and on-site operations. In addition, many operations are performed over a considerable period of time. Accordingly, estimating construction costs ...
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    Cross-Validation of Short-Term Productivity Forecasting Methodologies 

    Source: Journal of Construction Engineering and Management:;2010:;Volume ( 136 ):;issue: 009
    Author(s): Seokyon Hwang
    Publisher: American Society of Civil Engineers
    Abstract: Frequent and regular prediction of productivity is needed to effectively manage construction operations in progress. This need is proven by significant deviations in productivity between estimated values and actual values, ...
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    Contemporaneous Time Series and Forecasting Methodologies for Predicting Short-Term Productivity 

    Source: Journal of Construction Engineering and Management:;2010:;Volume ( 136 ):;issue: 009
    Author(s): Seokyon Hwang; Liang Y. Liu
    Publisher: American Society of Civil Engineers
    Abstract: Productivity has a profound impact on projects that depend on time and cost of construction operations. In addition, time and cost estimates are derived from productivity. Thus, accurate prediction of productivity is ...
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    Effect of Soil Spatial Variability on the Structural Reliability of a Statically Indeterminate Frame 

    Source: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2021:;Volume ( 007 ):;issue: 001:;page 04020048
    Author(s): Zhe Luo; Minkyum Kim; Seokyon Hwang
    Publisher: ASCE
    Abstract: This paper presents a probabilistic procedure for assessing the structural responses of a statically indeterminate frame caused by soil spatial variability. Neglecting the soil spatial variability can underestimate the ...
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