ACM Home Page
Please provide us with feedback. Feedback
Designing computer simulation experiments
Full text PdfPdf (433 KB)
Source Winter Simulation Conference archive
Proceedings of the 20th conference on Winter simulation table of contents
San Diego, California, United States
Pages: 15 - 18  
Year of Publication: 1988
ISBN:0-911801-42-1
Author
W. David Kelton  Department of Management Sciences, Carlson School of Management, University of Minnesota, Minneapolis, Minnesota
Sponsors
ORS : Orthopaedic Research Society
SIGSIM: ACM Special Interest Group on Simulation and Modeling
TIMS :
IEEE-CS : Computer Society
IEEE-SMCS : Systems, Man & Cybernetics Society
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 5,   Downloads (12 Months): 21,   Citation Count: 3
Additional Information:

abstract   references   cited by   index terms   collaborative colleagues  

Tools and Actions: Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/318123.318136
What is a DOI?

ABSTRACT

This tutorial focuses on that part of a simulation study concerning setting the various specific model parameters and the experimental conditions under which the model will be exercised. Other issues in setting up and designing simulation experiments, such as variance reduction, ranking and selection, and optimization, are also mentioned. The focus is on careful choice of such parameters beforehand, with an eye toward the statistical analysis of the simulation's results. Output analysis is not treated per se, being covered in another tutorial in this conference (by Gordon Clark), but the design and analysis activities must be done hand in hand.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
Banks, J. and J.S. Carson II (1984). Discrete-Event System Simulation. Prentice-Hall, Englewood Cliffs. New Jersey.
 
2
Box, G.E.P., Hunter, W.G., and Hunter. J.S. (1978). Statistics for Experimenters: An Introduction to Desiqn, Data Analysis~ and Model Buildinq. Wiley, New York.
 
3
 
4
Fishman, G. (1973). Concepts and Methods in Discrete Event Diqital simulation. Wiley, New York.
 
5
6
7
 
8
 
9
10
 
11
Law, A.M. (1983). Statistical analysis of simulation output data. Operations Research 3A, 983-1029.
 
12
13
14