Cost Performance as a Stochastic Process: EAC Projection by Markov Chain Simulation-Reference-Cited by-同舟云学术

Cost Performance as a Stochastic Process: EAC Projection by Markov Chain Simulation

Published:2016-06 Issue:6 Volume:142 Page:04016009
ISSN:0733-9364
Container-title:Journal of Construction Engineering and Management
language:en
Short-container-title:J. Constr. Eng. Manage.

Author:

Du Jing¹,Kim Byung-Cheol²,Zhao Dong³

Affiliation:

1. Assistant Professor, Dept. of Construction Science, Texas A&M Univ., Francis Hall 333, College Station, TX 77843 (corresponding author).

2. Assistant Professor, Dept. of Civil Engineering, Ohio Univ., 114 Stocker Center, Athens, OH 45701-2927.

3. Assistant Professor, School of Planning, Design and Construction, Michigan State Univ., East Lansing, MI 48824.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Strategy and Management,Industrial relations,Building and Construction,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29CO.1943-7862.0001115

Reference57 articles.

1. Agdas D. Davidson M. T. and Ellis R. D. (2011). “Efficiency comparison of Markov chain Monte Carlo simulation with subset simulation (MCMC/ss) to standard Monte Carlo simulation (sMC) for extreme event scenarios.” Vulnerability uncertainty and risk analysis modeling and management ASCE Reston VA 86–95.

2. DoD legacy systems

3. Predicting Cost Deviation in Reconstruction Projects: Artificial Neural Networks versus Regression

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