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Multiple comparisons with the best for steady-state simulation
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Volume 3 ,  Issue 1  (January 1993) table of contents
Pages: 66 - 79  
Year of Publication: 1993
ISSN:1049-3301
Authors
Mingjian Yuan  National Yunlin Institute of Technology and Management
Barry L. Nelson  The Ohio State Univ., Columbus
Publisher
ACM  New York, NY, USA
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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.


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
A~IKE, H. Maximum likelihood identification of Gaussian auto-regressive moving average process. B~ometrtka 60, 2 (Aug. 1973), 255-266.
 
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HANNa, E. J. Multiple Time Series. Wiley, New York, 1970.
 
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HANNAN, E. J., McDOUGALL, A. J., AND POSKITT, D.S. Recursive estimation of autoregressions. J. Roy. Stat. Soc. B51, 2 (1989), 217 233.
 
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HEMERL~, E. M., AND DAVIS M. H. A. Strong consistency of the PLS criterion for order determination of autoregressive processes. Ann. Stat. 17, 2 (1989), 941 946.
 
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Hsu, J. C. Constrained simultaneous confidence intervals for multiple comparisons with the best. Ann. Stat. 12, 3 (1984), 1136 1144.
 
10
Hsu, J. C. Ranking and selection and multiple comparisons with the best. In Design of Experiments: Ranking and Selection, T. J. Santner and A. C. Tamhane, Eds. Marcel Dekker, New York, 1984, chap. 3.
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RISSANEN, J. Order estimation by accumulated prediction errors. In Essays in Time Series and Allied Processes. J. Gani and M. B. Priestly, Eds. J. Appl. Prob. 23A (1986), 55-61.
 
14
YUAN, M., AND NELSON, B. L. Autoregressive output analysis methods revisited. Working Paper Ser. 1991-007, Dept. of Industrial and Systems Engineering, Ohio State Univ., Columbus, 1991.


Collaborative Colleagues:
Mingjian Yuan: colleagues
Barry L. Nelson: colleagues