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Abdel-Razek, R H (1997) How Construction Managers Would Like Their Performance to Be Evaluated. Journal of Construction Engineering and Management, 123(03), 208–13.

Arditi, D, Khisty, C J and Yasamis, F (1997) Incentive/Disincentive Provisions in Highway Contracts. Journal of Construction Engineering and Management, 123(03), 302–7.

Bernold, L E, Lorenc, S J and Luces, E (1997) Intelligent Technology for Truck Crane Accident Prevention. Journal of Construction Engineering and Management, 123(03), 276–84.

Carr, R I (1997) Engineering and Construction Management: Leadership and Opportunity. Journal of Construction Engineering and Management, 123(03), 292–6.

Chua, D K H, Kog, Y C, Loh, P K and Jaselskis, E J (1997) Model for Construction Budget Performance—Neural Network Approach. Journal of Construction Engineering and Management, 123(03), 214–22.

Dzeng, R and Tommelein, I D (1997) Boiler Erection Scheduling Using Product Models and Case-Based Reasoning. Journal of Construction Engineering and Management, 123(03), 338–47.

El-Bibany, H (1997) Parametric Constraint Management in Planning and Scheduling: Computational Basis. Journal of Construction Engineering and Management, 123(03), 348–53.

Eldin, N N (1997) Concurrent Engineering: A Schedule Reduction Tool. Journal of Construction Engineering and Management, 123(03), 354–62.

Everett, J G and Yang, I (1997) Workers' Comp. Premiums: Disparities in Penalties for Identical Losses. Journal of Construction Engineering and Management, 123(03), 312–7.

Fischer, M and Tatum, C B (1997) Characteristics of Design-Relevant Constructability Knowledge. Journal of Construction Engineering and Management, 123(03), 253–60.

Hampson, K and Fischer, M (1997) Structural Designs and Construction Technologies for California Highway Bridges. Journal of Construction Engineering and Management, 123(03), 269–75.

Hancher, D E, Garza, J M d l and Eckert, G K (1997) Improving Workers' Compensation Management in Construction. Journal of Construction Engineering and Management, 123(03), 285–91.

Hassanein, A and Melin, J (1997) Crew Design Methodology for Construction Contractors. Journal of Construction Engineering and Management, 123(03), 203–7.

Huang, X and Bernold, L E (1997) CAD-Integrated Excavation and Pipe Laying. Journal of Construction Engineering and Management, 123(03), 318–23.

Ibbs, C W (1997) Quantitative Impacts of Project Change: Size Issues. Journal of Construction Engineering and Management, 123(03), 308–11.

Karshenas, S (1997) Strength Variability of Conventional Slab Formwork Systems. Journal of Construction Engineering and Management, 123(03), 324–30.

Li, H and Love, P (1997) Using Improved Genetic Algorithms to Facilitate Time-Cost Optimization. Journal of Construction Engineering and Management, 123(03), 233–7.

Naresh, A L and Jahren, C T (1997) Communications and Tracking for Construction Vehicles. Journal of Construction Engineering and Management, 123(03), 261–8.

Owers, R and Weber, S L (1997) Strategic Plan for Southwest Indian Community's Construction Business. Journal of Construction Engineering and Management, 123(03), 331–7.

Price, A D F and Shawa, H (1997) Survey of Project Related Finance in United Arab Emirates. Journal of Construction Engineering and Management, 123(03), 223–32.

Puddicombe, M S (1997) Designers and Contractors: Impediments to Integration. Journal of Construction Engineering and Management, 123(03), 245–52.

Scott, S (1997) Delay Claims in U.K. Contracts. Journal of Construction Engineering and Management, 123(03), 238–44.

Touran, A and Suphot, L (1997) Rank Correlations In Simulating Construction Costs. Journal of Construction Engineering and Management, 123(03), 297–301.

  • Type: Journal Article
  • Keywords:
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)0733-9364(1997)123:3(297)
  • Abstract:
    In this paper the use of rank correlations in simulating construction costs is investigated. One suggested methodology for generating correlated random numbers using rank correlations is reviewed and compared with traditional methods based on Pearson correlations. This methodology is the basis for the design of several simulation software packages commonly used by analysts and estimators. Because of this it is important to evaluate the effectiveness of this approach in probabilistic analysis of construction costs. A set of real-life construction costs is used to test the effectiveness of the suggested methodology in simulating the distribution of costs. Several tests of hypotheses are executed to compare the distribution of simulated data with actual data. It is shown that rank correlations can model data dependency as effectively as Pearson correlations on this data set. Suggestions are made regarding future work in this area.