Simultaneous ranking, selection and multiple comparisons for simulation

Subscribe (Full Service)


	Search: The ACM Digital Library The Guide

	Feedback

Simultaneous ranking, selection and multiple comparisons for simulation

Full text

Pdf (480 KB)

Source

Winter Simulation Conference archive
Proceedings of the 25th conference on Winter simulation table of contents

Los Angeles, California, United States

Pages: 386 - 392

Year of Publication: 1993

ISBN:0-7803-1381-X

Authors

Frank J. Matejcik	Industrial Engineering, South Dakota School of Mines & Technology, Rapid City, South Dakota
Barry L. Nelson	Department of Industrial & Systems Engineering, The Ohio State University, Columbus, Ohio

Sponsors

IEEE-CS : Computer Society
IEEE-SMCS : Systems, Man & Cybernetics Society
ACM: Association for Computing Machinery
ORSA : Operations Research Society of America
SIGSIM: ACM Special Interest Group on Simulation and Modeling
IIE : Institute of Industrial Engineers
SCS : Society for Computer Simulation
ASA : American Statistical Association
NIST : National Institue of Standards & Technology
TIMS/CSG :

Publisher

ACM New York, NY, USA

Bibliometrics

Downloads (6 Weeks): 2, Downloads (12 Months): 12, Citation Count: 9

Additional Information:

references cited by collaborative colleagues

Tools and Actions:	Review this Article Save this Article to a Binder Display Formats: BibTeX EndNote ACM Ref

DOI Bookmark:	Use this link to bookmark this Article: http://doi.acm.org/10.1145/256563.256670 What is a DOI?

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	Gordon M. Clark , Wei-ning Yang, A Bonferroni selection procedure when using commom random numbers with unknown variances, Proceedings of the 18th conference on Winter simulation, p.313-315, December 08-10, 1986, Washington, D.C., United States [doi>10.1145/318242.318452]
	2	David Goldsman, Ranking and selection in simulation, Proceedings of the 15th conference on Winter Simulation, p.387-394, December 12-14, 1983, Arlington, Virginia, United States
	3	Y. Hochberg , A. C. Tamhane, Multiple comparison procedures, John Wiley & Sons, Inc., New York, NY, 1987
	4	Hsu, 3. C. 1984. Constrained simultaneous confidence intervals for mulitple comparisons with the best. The Annal~ of Statistics 12: 1136-1144.
	5	Koenig, L. W., and A. M. Law. 1985. A procedure for selecting a subset of size m containing the l best of k independent normal populations, with applications to simulation. Communications in Statistics B14: 719- 734.
	6	Matejcik, F. :I., and B. L. Nelson. 1992. Two-stage multiple comparisons with the best for computer simulation. Working Papers Series No. 1992-004, Department of Industrial and Systems Engineering, The Ohio State University, Columbus, Ohio.
	7	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 [doi>10.1145/174153.174158]
	8	Rinott, Y. 1978. On two-stage selection procedures and related probability-inequalities. Communications in Statistics AT: 799-811.
	9	Wilcox, R. R. 1984. A table for Rinott's selection procedure. Journal of Quality Technology 16: 97- 100.
	10	Yang, W., and B. L. Nelson. 1991. Using common random numbers and control variates in multiplecomparison procedures. Operations Research 39: 583-591.

CITED BY 9

	Susan M. Sanchez, It is a far, far better mean I find…, Proceedings of the 29th conference on Winter simulation, p.31-38, December 07-10, 1997, Atlanta, Georgia, United States
	Chun-Hung Chen , Yu Yuan , Hsiao-Chang Chen , Enver Yücesan , Liyi Dai, Computing budget allocation for simulation experiments with different system structure, Proceedings of the 30th conference on Winter simulation, p.735-742, December 13-16, 1998, Washington, D.C., United States
	Hsiao-Chang Chen , Liyi Dai , Chun-Hung Chen , Enver Yücesan, New development of optimal computing budget allocation for discrete event simulation, Proceedings of the 29th conference on Winter simulation, p.334-341, 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
	Frank J. Matejcik, Improvements and extensions to simulation interval procedures, Proceedings of the 27th conference on Winter simulation, p.367-373, December 03-06, 1995, Arlington, Virginia, United States
	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
	David Goldsman , Barry L. Nelson, Ranking, selection and multiple comparisons in computer simulations, Proceedings of the 26th conference on Winter simulation, p.192-199, December 11-14, 1994, Orlando, Florida, United States
	Enver Yücesan, A tournament framework for the ranking and selection problem, Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come, December 09-12, 2007, Washington D.C.

Collaborative Colleagues:

Frank J. Matejcik: colleagues

Barry L. Nelson: colleagues

Adobe Acrobat

QuickTime

Windows Media Player

Real Player