ACM Home Page
Please provide us with feedback. Feedback
Some new results on the initial transient problem
Full text PdfPdf (420 KB)
Source Winter Simulation Conference archive
Proceedings of the 27th conference on Winter simulation table of contents
Arlington, Virginia, United States
Pages: 165 - 170  
Year of Publication: 1995
ISBN:0-7803-3018-8
Author
Peter W. Glynn  Department of Operations Research, Stanford University, Stanford, CA
Sponsors
IIE : Institute of Industrial Engineers
SCS : Society for Computer Simulation
ASA : American Statistical Association
NIST : National Institue of Standards & Technology
IEEE-CS : Computer Society
IEEE-SMCS : Systems, Man & Cybernetics Society
ACM: Association for Computing Machinery
INFORMS/CS : Computer Science TC
SIGSIM: ACM Special Interest Group on Simulation and Modeling
Publisher
IEEE Computer Society  Washington, DC, USA
Bibliometrics
Downloads (6 Weeks): 1,   Downloads (12 Months): 9,   Citation Count: 4
Additional Information:

abstract   references   cited by   index terms   collaborative colleagues   peer to peer  

Tools and Actions: Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/224401.224458
What is a DOI?

ABSTRACT

This paper contains two new results pertaining to the initial transient problem for steady-state simulations. Our first result rigorously establishes the asymptotic superiority of a few long replications relative to a large number of shorter replications, assuming that no initial transient deletion is attempted. Our second result concerns an initial transient detection test proposed by Schruben; we develop asymptotics that are suggestive of the types of initial transients that the test is capable of detecting. As one might expect, the ability to detect a non-stationarity in the simulation output depends both on the magnitude of the non-stationarity of the initial condition, and the degree of autocorrelation in the process.


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
 
2
CsSrgS, M. and P. R@v@sz. 1981. Strong approximations in probability and statistics. Academic Press, New York.
 
3
Glynn, Peter W. 1984. Some asymptotic formulas for Markov chains with applications to simulation. Journal of Statistical Computation and Simulation 19:97-112.
 
4
Glynn, Peter W. 1987. Limit theorems for the method of replication. Stochastic Models 4:343-350.
 
5
 
6
Lindvall, T. 1992. Lectures on the Coupling Method. John Wiley, New York.
 
7
Meyn, S. P. and R. L. Tweedie. 1993. Markov chains and stochastic stability. Springer-Verlag, New York.
 
8
Philipp, W. and W. Stout. 1975. Almost sure invariance principles for partial sums of weakly dependent random variables. Mem. Amer. Math. Soc. No. 161.
 
9
Schruben, L. W. 1982. Detecting initialization bias in simulation output. Operations Research 30:569- 590.
 
10



Peer to Peer - Readers of this Article have also read: