Methods for selecting the best system

Subscribe (Full Service)


	Search: The ACM Digital Library The Guide

	Feedback

Methods for selecting the best system

Full text

Pdf (1.00 MB)

Source

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): 1, Downloads (12 Months): 16, Citation Count: 29

Additional Information:

references cited by index terms collaborative colleagues

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

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

	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
	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
	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
	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
	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
	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
	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
	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
	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
	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
	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
	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 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
	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
	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
	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
	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
	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
	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
	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
	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
	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
	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
	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
	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.
	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
	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.
	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
	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