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Comparison with a standard via fully sequential procedures
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Source ACM Transactions on Modeling and Computer Simulation (TOMACS) archive
Volume 15 ,  Issue 2  (April 2005) table of contents
Pages: 155 - 174  
Year of Publication: 2005
ISSN:1049-3301
Author
Seong-Hee Kim  Georgia Institute of Technology, Atlanta, GA
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 1,   Downloads (12 Months): 31,   Citation Count: 3
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ABSTRACT

We develop fully sequential procedures for comparison with a standard. The goal is to find systems whose expected performance measures are larger or smaller than a single system referred to as a standard and, if there is any, to find the one with the largest or smallest performance. The general formulation of comparison with a standard gives the standard a special status and tries to protect it when its performance is better than or even equal to performance measures of all the other alternatives. Therefore, the problem cannot be formulated as the selection of the best and a specialized procedure is required. Our procedures allow for unequal variances across systems, the use of common random numbers, and known or unknown expected performance of the standard. Experimental results are provided to compare the efficiency of the procedure with other existing procedures.


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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Bechhofer, R. and Turnbull, B. 1978. Two (k+1)-decision selection procedures for comparing k normal means with a specified standard. J. Amer. Statis. Assoc. 73, 385--392.
 
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Chen, H.-C., Chen, C.-H., and Yücesan, E. 2000. Computing efforts allocation for ordinal optimization and discrete event simulation. IEEE Trans. Auto. Cont. 45, 960--964.
 
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Fabian, V. 1974. Note on Anderson's sequential procedures with triangular boundary. Annals Statis. 2, 170--176.
 
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Goldsman, D. and Nelson, B. 1998. Comparing systems via simulation. In Handbook of simulation: Principles, Methodology, Advances, Applications, and Practice, J. Banks, Ed. John Wiley & Sons, New York, 273--306.
 
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Hartmann, M. 1991. An improvement on Paulson's procedure for selecting the population with the largest mean from k normal populations with a common unknown variance. Sequential Analysis 10, 1--16.
 
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Hong, L. and Nelson, B. 2005. The tradeoff between sampling and switching: New sequential procedures for indifference-zone selection. IIE Trans., to appear.
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Nelson, B. and Barnerjee, S. 2001. Selecting a good system: Procedures and inference. IIE Trans. 33, 149--166.
 
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Paulson, E. 1952. On the comparison of several experimental categories with a control. Annals Math. Statis. 23, 239--246.



REVIEW

"James Speybroeck : Reviewer"

The focus of this very well-written paper is the determination of a system whose expected performance measures are larger or smaller than a single system, with the goal of subsequently presenting the smallest and largest system.

After a brie  more...