Spreadsheet simulation

Proceedings - Winter Simulation Conference

Volumn 2005, Issue , 2005, Pages 33-40

  Seila, Andrew F ^a  

^a UNIVERSITY OF GEORGIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

LEARNING SYSTEMS; MATHEMATICAL MODELS; SPREADSHEETS;

SIMULATION MODELS; SPREADSHEET SIMULATION;

COMPUTER SIMULATION;

EID: 33846702055     PISSN: 08917736     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WSC.2005.1574237     Document Type: Conference Paper

References (8)

1. Alexopoulos, C., and A. F. Seila. 1998. Output data analysis. In Handbook of Simulation: Principles, Methodology, Advances, Applications, and Practice, ed. J. Banks. New York: John Wiley.
2. Cheng, R. C. H. 1998. Random variate generation. In Handbook of Simulation: Principles, Methodology, Advances, Applications, and Practice, ed. J. Banks. New York: John Wiley.
3. Fishman, G. S. 1996. Monte carlo concepts, algorithms and applications. New York: Springer.
4. Grossman, T. A. 1999. Spreadsheet modeling and simulation improves understanding of queues. Interfaces 29 (3):99-103.
5. L'Ecuyer, P. 1998. Random number generation. In Handbook of Simulation: Principles, Methodology, Advances, Ap plications, and Practice, ed. J. Banks. New York: John Wiley.
6. Mattesich, R. 1961. Budgeting models and system simulation. The Accounting Review 36:384-397.
7. Seila, A. F., V. Ceric, and P. Tadikamalla. 2003. Applied simulation modeling. Belmont, California: Brooks-Cole.
8. Winston, W. L. 1996. Simulation modeling using @risk. Belmont, California: Duxbury.