Random Generation of Complex Data Structures for the Simulation of Construction Operations-Reference-Cited by-同舟云学术

Random Generation of Complex Data Structures for the Simulation of Construction Operations

Published:2016-05-24 Issue: Volume: Page:
ISSN:
Container-title:Construction Research Congress 2016
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Author:

Al-Alawi Mubarak¹²³,Bouferguene Ahmed¹²³,Mohamed Yasser¹²³

Affiliation:

1. Ph.D. Candidate, Dept. of Civil and Environmental Engineering, 1-047 Markin/CNRL Natural Resources Engineering Facility, Univ. of Alberta, Edmonton, AB, Canada T6G 2W2.

2. Associate Professor, Dept. of Civil and Environmental Engineering, 7-360A Donadeo Innovation Center for Engineering, Univ. of Alberta, Edmonton, AB, Canada T6G 2G6.

3. Associate Professor, Dept. of Civil and Environmental Engineering, 7-269 Donadeo Innovation Center for Engineering, Univ. of Alberta, Edmonton, AB, Canada T6G 2G6.

Publisher

American Society of Civil Engineers

Link

http://ascelibrary.org/doi/pdf/10.1061/9780784479827.250

Reference12 articles.

1. Fitting Beta Distributions Based on Sample Data

2. Biller B. & Ghosh S. (2006). Multivariate input processes. In S. G. Henderson & L. B. Nelson Handbook in Operation Research and Management Science (pp. 123-153). Amsterdam: Elsevier Science.

3. Biller B. & Gunes C. (2010). Introduction to Simulation Input Modeling. Winter Simulation Conference (pp. 49-58). Baltimore: IEEE.

4. Bootstrap Methods: Another Look at the Jackknife

5. Hu D. & Mohamed Y. (2012). Pipe spool fabrication sequencing by automated planning. Construction Research Congress (pp. 495-504). ASCE.

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