Methods for selecting the best system

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Methods for selecting the best system

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Winter Simulation Conference archive
Proceedings of the 23rd conference on Winter simulation table of contents

Phoenix, Arizona, United States

Pages: 177 - 186

Year of Publication: 1991

ISBN:0-7803-0181-1

Authors

David Goldsman	School of Industrial & Systems Engineering, Georgia Institute of Technology, Atlanta, Georgia
Barry L. Nelson	Department of Industrial & Systems Engineering, The Ohio State University, Columbus, Ohio
Bruce Schmeiser	School of Industrial Engineering, Purdue University, West Lafayette, Indiana

Sponsors

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

Publisher

IEEE Computer Society Washington, DC, USA

Bibliometrics

Downloads (6 Weeks): 3, Downloads (12 Months): 22, Citation Count: 29

Additional Information:

references cited by index terms collaborative colleagues

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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	Bechhofer, R. E., C. Dunnett, D. Goldsman, and M. Hartmann. 1990. A Comparison of the performances of procedures for selecting the normal population having the largest mean when the populations have a common unknown variance. Communications in Statistics~Simulation and Computation B19, 971-1006.
	2	Jean Dickinson Gibbons , Ingram Olkin , Milton Sobel, Selecting and ordering populations: a new statistical methodology, Society for Industrial and Applied Mathematics, Philadelphia, PA, 1999
	3	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
	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 comparisons with the best. In: Design of Experiments: Ranking and Selection, eds. T. J. Santner and A. C. Tamhane, 23-33. New York: Marcel Dekker.
	6	J. C. Hsu, Sample size computation for designing multiple comparison experiments, Computational Statistics & Data Analysis, v.7 n.1, p.79-91, August 1988 [doi>10.1016/0167-9473(88)90017-5]
	7	Averill M. Law , W. David Kelton, Simulation Modeling and Analysis, McGraw-Hill Higher Education, 1997
	8	Nelson, B. L. 1992. Statistical analysis of simulation results. In: Handbook of Industrial Engineering, Second Edition, ed. G. Salvendy, in pre~s. New York: John Wiley.
	9	Rinott, Y. 1978. On two-stage selection procedures and related probability inequalities. Communications in Stalistics AT, 799-811.
	10	Schmeiser, B. W. 1982. Batch size effects in the analysis of simulation output. Operations Research 30, 556-568.
	11	Schmeiser, B. W. 1990. Simulation experiments. In: Handbook of Operations Research and Management Science, Volume 2: Stochastic Models, eds. D. Heyman and M. Sobel, 295-330. Amsterdam: North Holland.
	12	Bruce W. Schmeiser , Thanos N. Avramidis , Sherif Hashem, Overlapping batch statistics, Proceedings of the 22nd conference on Winter simulation, p.395-398, December 09-12, 1990, New Orleans, Louisiana, United States
	13	Bruce W. Schmeiser , Mark D. Scott, SERVO: simulation experiments with random-vector output, Proceedings of the 23rd conference on Winter simulation, p.927-936, December 08-11, 1991, Phoenix, Arizona, United States
	14	Schmidt, J. W., and R. E. Taylor. 1970. Simulation and Analysis of Industrial Systems. Homewood, Illinois: Richard D. Irwin.
	15	Wilcox, R. R. 1984. A table for Rinott's selection procedure. Journal of Quality Technology 16, 97- 100.
	16	Yang, W., and B. L. Nelson. 1991. Using common random numbers and control variates in multiplecomparison procedures. Operations Research 39, in press.

CITED BY 29

	Wheyming T. Song , Bruce W. Schmeiser, Displaying statistical point estimators: the leading-digit procedure, Proceedings of the 40th Conference on Winter Simulation, December 07-10, 2008, Miami, Florida
	Yu-Hui Tao , Shin-Ming Guo, The design of a web-based training system for simulation analysis, Proceedings of the 33nd conference on Winter simulation, December 09-12, 2001, Arlington, Virginia
	Douglas J. Morrice , John Butler , Peter W. Mullarkey, An approach to ranking and selection for multiple performance measures, Proceedings of the 30th conference on Winter simulation, p.719-726, December 13-16, 1998, Washington, D.C., United States
	Voratas Kachitvichyanukul , James O. Henriksen , Ricki G. Ingalls , C. Dennis Pegden , Bruce W. Schmeiser, Panel: simulation environment: simulation environment for the new millennium (panel), Proceedings of the 33nd conference on Winter simulation, December 09-12, 2001, Arlington, Virginia
	Douglas J. Morrice , John Butler , Peter Mullarkey , Srinagesh Gavirneni, Sensitivity analysis in ranking and selection for multiple performance measures, Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future, p.618-624, December 05-08, 1999, Phoenix, Arizona, United States
	Wheyming T. Song , Aaron E. Bair , Mingchang Chih, A simulation study on the impact of physician starting time in a physical examination service, Proceedings of the 40th Conference on Winter Simulation, December 07-10, 2008, Miami, Florida
	Jennifer M. Bekki , John W. Fowler , Gerald T. Mackulak , Barry L. Nelson, Using quantiles in ranking and selection procedures, Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come, December 09-12, 2007, Washington D.C.
	Bruce Schmeiser, Simulation output analysis: a tutorial based on one research thread, Proceedings of the 36th conference on Winter simulation, December 05-08, 2004, Washington, D.C.
	Paul Glasserman , Pirooz Vakili, Correlation of Markov chains simulated in parallel, Proceedings of the 24th conference on Winter simulation, p.475-482, December 13-16, 1992, Arlington, Virginia, United States
	Mahmoud H. Alrefaei , Sigrún Andradóttir, A new search algorithm for discrete stochastic optimization, Proceedings of the 27th conference on Winter simulation, p.236-241, December 03-06, 1995, Arlington, Virginia, United States
	Sigrún Andradóttir, Discrete optimization in simulation: a method and applications, Proceedings of the 24th conference on Winter simulation, p.483-486, December 13-16, 1992, Arlington, Virginia, United States
	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
	James J. Swain , Phillip A. Farrington, Designing simulation experiments for evaluating manufacturing systems, Proceedings of the 26th conference on Winter simulation, p.69-76, December 11-14, 1994, Orlando, Florida, 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
	Chun-Hung Chen , Hsiao-Chang Chen , Liyi Dai, A gradient approach for smartly allocating computing budget for discrete event simulation, Proceedings of the 28th conference on Winter simulation, p.398-405, December 08-11, 1996, Coronado, California, United States
	Mahmoud H. Alrefaei , Sigrún Andradóttir, Discrete stochastic optimization via a modification of the stochastic ruler method, Proceedings of the 28th conference on Winter simulation, p.406-411, December 08-11, 1996, Coronado, California, United States
	Phillip A Farrington , James J. Swain, Design of simulation experiments with manufacturing applications, Proceedings of the 25th conference on Winter simulation, p.69-75, December 12-15, 1993, Los Angeles, California, 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
	Jean-Pierre Dussault , Donald Labrecque , Pierre L‘Ecuyer , Reuven Y. Rubinstein, Combining the Stochastic Counterpart and Stochastic ApproximationMethods, Discrete Event Dynamic Systems, v.7 n.1, p.5-28, January 1997
	W. David Kelton, Analysis of output data, Proceedings of the 26th conference on Winter simulation, p.62-68, December 11-14, 1994, Orlando, Florida, United States
	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
	W. David Kelton, Statistical analysis of simulation output, Proceedings of the 29th conference on Winter simulation, p.23-30, December 07-10, 1997, Atlanta, Georgia, United States
	W. David Kelton, A tutorial on design and analysis of simulation experiments, Proceedings of the 27th conference on Winter simulation, p.24-31, December 03-06, 1995, Arlington, Virginia, United States
	David Goldsman , Barry L. Nelson, Statistical screening, selection, and multiple comparison procedures in computer simulation, Proceedings of the 30th conference on Winter simulation, p.159-166, December 13-16, 1998, Washington, D.C., United States
	W. David Kelton, Statistical issues in simulation, Proceedings of the 28th conference on Winter simulation, p.47-54, December 08-11, 1996, Coronado, California, United States
	Hsiao-Chang Chen , Chun-Hung Chen , Jianwu Lin , Enver Yücesan, An asymptotic allocation for simultaneous simulation experiments, Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future, p.359-366, December 05-08, 1999, Phoenix, Arizona, United States
	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
	Bruce W. Schmeiser , Wheyming Tina Song, Batching methods in simulation output analysis: what we know and what we don't, Proceedings of the 28th conference on Winter simulation, p.122-127, December 08-11, 1996, Coronado, California, United States