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Advanced methods for simulation output analysis
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Source Winter Simulation Conference archive
Proceedings of the 27th conference on Winter simulation table of contents
Arlington, Virginia, United States
Pages: 101 - 109  
Year of Publication: 1995
ISBN:0-7803-3018-8
Author
Christos Alexopoulos  School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, Georgia
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
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ABSTRACT

This paper reviews statistical methods for analyzing output data from computer simulations of single systems. In particular, it focuses on the problems of choosing initial conditions and estimating steady-state system parameters. The estimation techniques include the replication/deletion approach, the regenerative method, the batch means method, the standardized time series method, the autoregressive method, and the spectral estimation method.


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.

 
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Collaborative Colleagues:
Christos Alexopoulos: colleagues