| Simulation output analysis: truncation point estimation using multiple replications in parallel |
| Full text |
Pdf
(400 KB)
|
| Source
|
Winter Simulation Conference
archive
Proceedings of the 35th conference on Winter simulation: driving innovation
table of contents
New Orleans, Louisiana
SESSION: Analysis methodology
table of contents
Pages: 414 - 421
Year of Publication: 2003
ISBN:0-7803-8132-7
|
|
Authors
|
|
| Sponsors |
|
| Publisher |
Winter Simulation Conference
|
| Bibliometrics |
Downloads (6 Weeks): 1, Downloads (12 Months): 5, Citation Count: 2
|
|
|
ABSTRACT
In steady-state simulation the output data of the transient phase often causes a bias in the estimation of the steady-state results. A common advice is to cut off this transient phase. Finding an appropriate truncation point is a well-known problem and is still not completely solved. In this paper we consider two algorithms for the determination of the truncation point. Both are based on a technique which takes the definition of the steady-state phase more closely into consideration. The capabilities of the algorithms are demonstrated by comparisons with two methods most often used in practice.
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
|
Bause, F., and H. Beilner. 1999. Intrinsic problems in simulation of logistic networks. Proc. of the 11th European Simulation Symposium and Exhibition (ESS99): 193--198.
|
| |
2
|
Bause, F., and M. Eickhoff. 2002. Initial transient period detection using parallel replications. Proc. of the 14th European Simulation Symposium: 85--92.
|
| |
3
|
|
| |
4
|
Ewing, G., K. Pawlikowski, and D. McNickle. 1999. Akaroa-2: Exploiting network computing by distributing stochastic simulation. Proc. of the 1999 European Simulation Multiconf: 175--181.
|
| |
5
|
Fishman, G. S. 2001. Discrete-event simulation. Springer. R@<6>R@<6>Gafarian, A. V., C. J. Ancker, and T. Morisaku. 1978. Evaluation of commonly used rules for detecting steady state in computer simulation. Naval Research Logistics Quarterly 78:511--529.
|
| |
7
|
Hamilton, J. D. 1994. Time series analysis. Princeton University Press.
|
| |
8
|
Hartung, J., B. Elpelt, and K. -H. Klösener. 1985. Statistik. R. Oldenbourg Verlag.
|
| |
9
|
|
| |
10
|
|
 |
11
|
|
| |
12
|
Welch, P. D. 1983. The statistical analysis of simulation results. In The Computer Performance Modeling Handbook, ed. S. Lavenberg, Academic Press: 268--328.
|
|