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It is a far, far better mean I find…

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Winter Simulation Conference archive
Proceedings of the 29th conference on Winter simulation table of contents

Atlanta, Georgia, United States

Pages: 31 - 38

Year of Publication: 1997

ISBN:0-7803-4278-X

Author

Susan M. Sanchez

School of Business Administration, University of Missouri-St. Louis, 8001 Natural Bridge Road, St. Louis, Missouri

Sponsors

IEEE-CS : Computer Society
IEEE-SMCS : Systems, Man & Cybernetics Society
ACM: Association for Computing Machinery
INFORMS/CS : Computer Science TC
SIGSIM: ACM Special Interest Group on Simulation and Modeling
SCS : Society for Computer Simulation
ASA : American Statistical Association
IEEE : Institute of Electrical and Electronics Engineers

Publisher

IEEE Computer Society Washington, DC, USA

Bibliometrics

Downloads (6 Weeks): 1, Downloads (12 Months): 8, Citation Count: 2

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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	Banks, J., J. S. Carson and B. L. Nelson. 1996. Discrete-event system simulation, 2nd ed. Englewood Cliffs, New Jersey: Prentice-Hall.
	2	Bechhofer, R. E. 1954. A single-sample multiple decision procedure for ranking means of normal populations. Annals of Mathematical Statistics 25:16- 29.
	3	Bechhofer, R. E., C. W. Dunnett and M. Sobel. 1954. A two-sample multiple decision procedure for ranking means of normal populations with a common unknown variance. Biometrika 41:170- 176.
	4	Bechhofer, R. E., S. Elmaghraby and N. Morse. 1959. A single-stage multiple decision procedure for selecting the multinomial event which has the highest probability. Annals of Mathematical Statistics 30:102-119.
	5	Bechhofer, R. E., and D. M. Goldsman. 1986. Truncation of the Bechhofer-Kiefer-Sobel procedure for selecting the multinomial event which has the largest probability (II): extended tables and an improved procedure. Communications in Statistics-Simulation and Computation B15:829- 851.
	6	Bechhofer, R. E., D. M. Goldsman and T. J. Santner. 1995. Design and analysis for statistical selection, screening and multiple comparisons. New York: John Wiley & Sons, Inc.
	7	Bechhofer, R. E., ana B. W. Turnbull. 1978. Two (k+l)-decision selection procedures for comparing k normal means with a control. Journal of the American Statistical Association 73:385-392.
	8	Chen, H. J., and H. M. Zhang. 1993. Procedures for simultaneous estimation and selection of the best population with a preliminary test. American Journal of Mathematics and Management Science 13:195-216.
	9	Halim Damerdji , Peter W. Glynn , Marvin K. Nakayama , James R. Wilson, Selecting the best system in transient simulations with variances known, Proceedings of the 28th conference on Winter simulation, p.281-286, December 08-11, 1996, Coronado, California, United States [doi>10.1145/256562.256628]
	10	Dudewisz, E. J., and S. R. Dalal. 1975. Allocation of observations in ranking and selection with unequal variances. SankyE B37:28-78.
	11	Jean Dickinson Gibbons , Ingram Olkin , Milton Sobel, Selecting and ordering populations: a new statistical methodology, Society for Industrial and Applied Mathematics, Philadelphia, PA, 1999
	12	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
	13	David Goldsman , Barry L. Nelson , Bruce Schmeiser, Methods for selecting the best system, Proceedings of the 23rd conference on Winter simulation, p.177-186, December 08-11, 1991, Phoenix, Arizona, United States
	14	Gupta, S. S. 1965. On some multiple decision (selection and ranking) rules. Technometrics 7:225- 245.
	15	Gupta, S. S., and D.-Y. Huang. 1976. Subset selection procedures for the means and variances of normal populations: unequal sample sizes. SankyTi B38:112-128.
	16	Gupta, S. S., and S. Panchepakesan. 1979. Multiple decision procedures. New York: John Wiley & Sons, Inc.
	17	Gupta, S. S., and M. Sobel. 1958. On selecting a subset which contains all populations better than a standard. Annals of Mathematical Statistics 28:957-967.
	18	Gupta, S. S., and M. Sobel. 1960. Selecting a subset containing the best of several binomial populations. Chapter 20 in Contributions to Probability and Statistics, ed. Ulkin, Ghurye, Hoeffding, Madow and Mann. Stanford, California: Stanford University Press.
	19	Y. Hochberg , A. C. Tamhane, Multiple comparison procedures, John Wiley & Sons, Inc., New York, NY, 1987
	20	Hsu, J. C. 1984. Constrained simultaneous confidence intervals for multiple comparisons with the best. Annals of Statistics 12:1136-1144.
	21	Hsu, J. C. 1996. Multiple comparisons: Theory and methods. London, England: Chapman and Hall.
	22	Hsu, J. C., and M. Peruggia. 1994. Graphical representation of Tukey's multiple comparison method. Journal of Computational and Graphical Statistics 3:143-161.
	23	P. K. Kannan , Susan M. Sanchez, Competitive market structures: a subset selection analysis, Management Science, v.40 n.11, p.1484-1499, Nov. 1994 [doi>10.1287/mnsc.40.11.1484]
	24	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 [doi>10.1145/268437.268443]
	25	Averill M. Law , W. David Kelton, Simulation Modeling and Analysis, McGraw-Hill Higher Education, 1997
	26	Frank J. Matejcik , Barry L. Nelson, Simultaneous ranking, selection and multiple comparisons for simulation, Proceedings of the 25th conference on Winter simulation, p.386-392, December 12-15, 1993, Los Angeles, California, United States [doi>10.1145/256563.256670]
	27	Matejcik, F. J., and B. L. Nelson. 1995. Two-stage multiple comparisons with the best for computer simulation. Operations Research 43(4):633-640.
	28	Miller, J. O., B. L. Nelson and C. H. Reilly. 1996. 2nd ed. New York: Springer-Verlag.
	29	J. O. Miller , Barry L. Nelson , Charles H. Reilly, Getting more from the data in a multinomial selection problem, Proceedings of the 28th conference on Winter simulation, p.287-294, December 08-11, 1996, Coronado, California, United States [doi>10.1145/256562.256631]
	30	Mukhodpadhyay, N., and T. S. Solanky. 1994. Multistage selection and ranking procedures. New York: Marcel Dekker.
	31	Marvin K. Nakayama, Selecting the best system in steady-state simulations using batch means, Proceedings of the 27th conference on Winter simulation, p.362-366, December 03-06, 1995, Arlington, Virginia, United States [doi>10.1145/224401.224637]
	32	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]
	33	Barry L. Nelson , Jason C. Hsu, Control-variate models of common random numbers for multiple comparisons with the best, Management Science, v.39 n.8, p.989-1001, Aug. 1993 [doi>10.1287/mnsc.39.8.989]
	34	Barry L. Nelson , Frank J. Matejcik, Using common random numbers for indifference-zone selection and multiple comparisons in simulation, Management Science, v.41 n.12, p.1935-1945, Dec. 1995 [doi>10.1287/mnsc.41.12.1935]
	35	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 [doi>10.1145/151527.151551]
	36	Paulson, E. 1952. On the comparison of several experimental categories with a control. Annals of Mathematical Statistics 23:239-246.
	37	John S. Ramberg , Susan M. Sanchez , Paul J. Sanchez , Ludwig J. Hollick, Designing simulation experiments: Taguchi methods and response surface metamodels, Proceedings of the 23rd conference on Winter simulation, p.167-176, December 08-11, 1991, Phoenix, Arizona, United States
	38	Rinott, Y. 1978. On two-stage seiection procedures and related probability inequalities. Communications in Statistics: Theory and Methods A7(8):799-811.
	39	Sanchez, S. M. 1987a. A modified least-failures sampling procedure for Bernoulli subset selection. Communications in Statistics-Theory and Methods 16(12):3609-3629.
	40	Sanchez, S. M. 1987b. Small-sample performance of a modified least-failures sampling procedure for Bernoulli subset selection, Communications in Statistics-Simulation and Computation 16(4):1051-1065.
	41	Susan M. Sanchez, A robust design tutorial, Proceedings of the 26th conference on Winter simulation, p.106-113, December 11-14, 1994, Orlando, Florida, United States
	42	Sanchez, S. M., and J. L. Higle, 1922; Observational studies of rare events: a subset selection approach. Journal of the American Statistical Association 87(149):878-883.
	43	Sanchez, S. M., P. J. Sanchez, J. S. Ramberg and F. Moeeni. 1996. Effective engineering design through simulation. International Transactions on Operational Research 3(2):169-185.
	44	Taguchi, G. 1986. Introduction to quality engineering. White Plains, New York: UNIPUB/Krauss International.
	45	Tamhane, A. C. 1977. Multiple comparisons in model I: One-way ANOVA with unequal variances. Communications in Statistics-Theory and Methods A6:15-32.
	46	Arne Thesen , Laurel E. Travis, Simulation for Decision Making, PWS Publishing Co., Boston, MA, 1991
	47	Yang, W.-N., and B. L. Nelson. 1991. Using common random numbers and control variates in multiple-comparison procedures. Operations Research 39(4):583-591.

CITED BY 2

	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
	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