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Multiple comparisons with the best for steady-state simulation

Multiple comparisons with the best for steady-state simulation Multiple-comparison procedures are useful for comparing the performance of competing systems via simulation. In this paper we extend a particular multiple-comparison procedure, multiple comparisons with the best, to steady-state simulation by using an autoregressive-output-analysis method. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png ACM Transactions on Modeling and Computer Simulation (TOMACS) Association for Computing Machinery

Multiple comparisons with the best for steady-state simulation

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Publisher
Association for Computing Machinery
Copyright
Copyright © 1993 by ACM Inc.
ISSN
1049-3301
DOI
10.1145/151527.151551
Publisher site
See Article on Publisher Site

Abstract

Multiple-comparison procedures are useful for comparing the performance of competing systems via simulation. In this paper we extend a particular multiple-comparison procedure, multiple comparisons with the best, to steady-state simulation by using an autoregressive-output-analysis method.

Journal

ACM Transactions on Modeling and Computer Simulation (TOMACS) – Association for Computing Machinery

Published: Jan 2, 1993

References

  • Maximum likelihood identification of Gaussian auto-regressive moving average process
    A~ IKE, H