Evaluating the probability of a good selection

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Evaluating the probability of a good selection

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Winter Simulation Conference archive
Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 1 table of contents

Phoenix, Arizona, United States

Pages: 611 - 617

Year of Publication: 1999

ISBN:0-7803-5780-9

Authors

Barry L. Nelson	Department of Industrial Engineering & Management Sciences, Northwestern University, Evanston, IL
Souvik Banerjee	Department of Industrial Engineering & Management Sciences, Northwestern University, Evanston, IL

Sponsors

ACM: Association for Computing Machinery
SIGSIM: ACM Special Interest Group on Simulation and Modeling

Publisher

ACM New York, NY, USA

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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	Anderson, P. O., T. A. Bishop and E. J. Dudewicz. 1977. Indifference-zone ranking and selection: Confidence intervals for true achieved P(CD). Communications in Statistics A6:1121-1132.
	2	Bechhofer, R. E., T. J. Santner and D. M. Goldsman. 1995. Design and analysis for statistical selection, screening and multiple comparisons. New York: John Wiley.
	3	Goldsman, D. M. and B. L. Nelson. 1998. Comparing systems via simulation. In Handbook of Simulation, ed. J. Banks, 273-306. New York: John Wiley.
	4	Y. Hochberg , A. C. Tamhane, Multiple comparison procedures, John Wiley & Sons, Inc., New York, NY, 1987
	5	Hsu, J. C. 1984. Ranking and selection and multiple compar-isons with the best. In Design of experiments: Ranking and selection, ed. T. J. Santner and A. J. Tamhane, 23- 33. New York: Marcel Dekker.
	6	Hsu, J. C. 1996. Multiple comparisons: Theory and meth-ods. New York: Chapman & Hall.
	7	Kim W-C. 1986. A lower confidence bound on the proba-bility of a correct selection. Journal of the American Statistical Association 81:1012-1017.
	8	Nelson, B. L. and D. M. Goldsman. 1998. Comparisons with a standard in simulation experiments. Technical Report, Department of Industrial Engineering & Man-agement Sciences, Northwestern University, Evanston, Illinois.
	9	Nelson, B. L. and S. Banerjee. 1999. Estimating the probability of a good selection. Technical Report, De-partment of Industrial Engineering & Management Sci-ences, Northwestern University, Evanston, Illinois.
	10	Stein, C. 1945. A two-sample test for a linear hypothesis whose power is independent of the variance. Annals of Mathematical Statistics 16:243-258.