Optimization over a finite number of system designs with one-stage sampling and multiple comparisons with the best

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Optimization over a finite number of system designs with one-stage sampling and multiple comparisons with the best

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Winter Simulation Conference archive
Proceedings of the 20th conference on Winter simulation table of contents

San Diego, California, United States

Pages: 451 - 457

Year of Publication: 1988

ISBN:0-911801-42-1

Authors

Jason C. Hsu	Department of Statistics, The Ohio State University, Columbus, Ohio
Barry L. Nelson	Department of Industrial and Systems Engineering, The Ohio State University, Columbus, Ohio

Sponsors

ORS : Orthopaedic Research Society
SIGSIM: ACM Special Interest Group on Simulation and Modeling
TIMS :
IEEE-CS : Computer Society
IEEE-SMCS : Systems, Man & Cybernetics Society

Publisher

ACM New York, NY, USA

Bibliometrics

Downloads (6 Weeks): 7, Downloads (12 Months): 17, Citation Count: 9

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ABSTRACT

Multiple comparisons with the best, which is applicable to single-stage experiments, is introduced as a method for choosing the best of a finite number of system designs. Examples are given.

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	Aubuchon, J.A., Gupte~, S.S. and Hsu, J.C. (1986). PROC RSMCB: Ranking, Selection, and Multiple Comparisons with the Best. Chapter 38, SUGI Supplemental Library User's Guide, Version 5 Edition (1986). $AS Institute Inc., Cary, NC.
	2	Bechhofer, R. E. (1954). A single-sample multiple decision procedure for ranking means of normal populations with known variances. Annal~ of Mathematical Statistics 25~ 16-39.
	3	Peter W. Glynn, Optimization of stochastic systems, Proceedings of the 18th conference on Winter simulation, p.52-59, December 08-10, 1986, Washington, D.C., United States [doi>10.1145/318242.318260]
	4	Gupta, S. S. (1956). On a decision rule for a problem in ranking means. Inst. of Statist. Mimeo. Set. No. I50, Univ. of North Carolina, Chapel Hill, NC.
	5	Gupta, S. S. (1965). On some multiple decision (selection and ranking) rules. Teehnometrics 7, 225-245.
	6	Hsu, J. C. (1981). Simultaneous confidence intervals for all distances from the 'best'. Annals of Statistics 9, 1026-1034.
	7	Hsu, J. C. (1984a). Ranking and Selection and Multiple Compaxisons with the Best. In: Chapter 3~ Design of Experiment~: Ranking and Selection (Thomas j. Santner and Ajit C. Tamhane, eds.). Marcel Dekker, New York.
	8	Hsu, J. C. (1984b). Constrained two-sided simultaneous confidence intervals for multiple comparisons with the best. Annah of Statistics 12, 1136-1144.
	9	Iglehaxt, D.L. (1977). Simulating stable stochastic systems, VII: Selecting the best system. In: TIMS Studies in the Management Science8 7, 37-49.
	10	Koenig, L.W. and Law, A.M. (1985). A procedure for selecting a subset of size rn containing the l best of k independent populations, with applications to simulation. Communications in ~~tatistic~ * Simulation and Computation 14, 719-734.

CITED BY 9

	Barry L. Nelson, Robust multiple comparisons under common random numbers, ACM Transactions on Modeling and Computer Simulation (TOMACS), v.3 n.3, p.225-243, July 1993
	Yolanda Carson , Anu Maria, Simulation optimization: methods and applications, Proceedings of the 29th conference on Winter simulation, p.118-126, December 07-10, 1997, Atlanta, Georgia, United States
	James R. Swisher , Paul D. Hyden , Sheldon H. Jacobson , Lee W. Schruben, Simulation optimization: a survey of simulation optimization techniques and procedures, Proceedings of the 32nd conference on Winter simulation, December 10-13, 2000, Orlando, Florida
	James R. Swisher , Sheldon H. Jacobson, A survey of ranking, selection, and multiple comparison procedures for discrete-event simulation, Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future, p.492-501, December 05-08, 1999, Phoenix, Arizona, United States
	Bozo Kolonja , David R. Kalasky , Jan M. Mutmansky, Optimization of dispatching criteria for open-pit truck haulage system design using multiple comparisons with the best and common random numbers, Proceedings of the 25th conference on Winter simulation, p.393-401, December 12-15, 1993, Los Angeles, California, United States
	Lynne Goldsman , Barry L. Nelson, Batch-size effects on simulation optimization using multiple comparisons with the best, Proceedings of the 22nd conference on Winter simulation, p.288-293, December 09-12, 1990, New Orleans, Louisiana, United States
	Michael C. Fu, A tutorial review of techniques for simulation optimization, Proceedings of the 26th conference on Winter simulation, p.149-156, December 11-14, 1994, Orlando, Florida, United States
	Mingjian Yuan , Barry L. Nelson, Multiple comparisons with the best for steady-state simulation, ACM Transactions on Modeling and Computer Simulation (TOMACS), v.3 n.1, p.66-79, Jan. 1993
	James R. Swisher , Sheldon H. Jacobson , Enver Yücesan, Discrete-event simulation optimization using ranking, selection, and multiple comparison procedures: A survey, ACM Transactions on Modeling and Computer Simulation (TOMACS), v.13 n.2, p.134-154, April 2003