| Methods for selecting the best system (1991) |
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Winter Simulation Conference
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Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come
table of contents
Washington D.C.
SECTION: Landmark papers from the first 40 years
table of contents
Article No. 7
Year of Publication: 2007
ISBN:1-4244-1306-0
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IEEE Press
Piscataway, NJ, USA
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Downloads (6 Weeks): 2, Downloads (12 Months): 26, Citation Count: 0
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ABSTRACT
In this tutorial we consider three methods for selecting the best of a set of competing systems: interactive analysis, ranking and selection, and multiple comparisons. We describe each method; discuss assumptions, implementation aspects, advantages, and disadvantages; and demonstrate the use of each method with an airline-reservation-system simulation example.
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.
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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.
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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.
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Nelson, B. L. 1992. Statistical analysis of simulation results. In: Handbook of Industrial Engineering, Second Edition, ed. G. Salvendy, in press. New York: John Wiley.
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Rinott, Y. 1978. On two-stage selection procedures and related probability inequalities. Communications in Statistics A7, 799--811.
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Schmeiser, B. W. 1982. Batch size effects in the analysis of simulation output. Operations Research 30, 556--568.
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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.
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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
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Schmidt, J. W., and R. E. Taylor. 1970. Simulation and Analysis of Industrial Systems. Homewood, Illinois: Richard D. Irwin.
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Wilcox, R. R. 1984. A table for Rinott's selection procedure. Journal of Quality Technology 16, 97--100.
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Yang, W., and B. L. Nelson. 1991. Using common random numbers and control variates in multiple-comparison procedures. Operations Research 39, in press.
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