skip to main content
10.5555/1218112.1218182acmconferencesArticle/Chapter ViewAbstractPublication PageswscConference Proceedingsconference-collections
Article

Performance evaluations of comparison-with-a-standard procedures

Published: 03 December 2006 Publication History

Abstract

We investigate the performance of a heuristic sequential procedure to compare a finite number of designs with respect to a single standard. The goal is to identify the best design, and if the chosen best design is not the standard, to determine whether the chosen best design is better than the standard. We give preferential status to the standard because there are costs and time involved in replacing the standard. We accomplish this goal by extending indifference-zone selection procedures. An experimental performance evaluation demonstrates the validity and efficiency of our sequential procedures.

References

[1]
Branke, J., S. Chick, and C. Schmidt. 2005. New developments in ranking and selection: an empirical comparison of the three main approaches. In Proceedings of the 2005 Winter Simulation Conference, ed. M. E. Kuhl, N. M. Steiger, F. B. Armstrong, and J. A. Joines, 708--717.
[2]
Chen, E. J. 2004. Using ordinal optimization approach to improve efficency of selection procedures. Journal of Discrete Event Dynamic Systems 14(2):153--170.
[3]
Chen, E. J. 2005. Using Parallel and Distributed Computing to Increase the Capability of Selection Procedures. In Proceedings of the 2005 Winter Simulation Conference, ed. M. E. Kuhl, N. M. Steiger, F. B. Armstrong, and J. A. Joines, 723--731.
[4]
Chen, E. J. 2006. Comparison with a standard via allpairwise comparisons. Journal of Discrete Event Dynamic Systems 16(3):385--403.
[5]
Chen, E. J., and W. D. Kelton. 2005. Sequential selection procedures: using sample means to improve efficiency. European Journal of Operational Research 166(1):133--153.
[6]
Chen, C. H., J. Lin, E. Yücesan, and S. E. Chick. 2000. Simulation budget allocation for further enhancing the efficiency of ordinal optimization. Journal of Discrete Event Dynamic Systems 10: 251--270.
[7]
Edwards, D. G., and J. C. Hsu. 1983. Multiple comparisons with the best treatment. Journal of the American Statistical Association 78:965--971.
[8]
Kim, S.-H. 2005. Comparison with a standard via fully sequential procedures. ACM Transactions on Modeling and Computer Simulation 11:251--273.
[9]
Law, A. M., and W. D. Kelton. 2000. Simulation modeling and analysis. Third ed. New York: McGraw-Hill.
[10]
Nakayama, M. K. 1997. Multiple-comparison procedures for steady-state simulations. Annals of Statistics 25: 2433--2450.
[11]
Nelson, B. L., and D. Goldsman. 2001. Comparisons with a standard in simulation experiments. Management Science 47:449--463.
[12]
Nelson, B. L., and F. J. Matejcik. 1995. Using common random numbers for indifference-zone selection and multiple comparisons in simulation. Management Science 41:1935--1945.
[13]
Rice, J. A. 1995. Mathematical statistics and data analysis. 2nd ed. Belmont, California: Duxbury Press.
[14]
Rinott, Y. 1978. On two-stage selection procedures and related probability inequalities. Communications in Statistics A7:799--811.
[15]
Scheffé, H. 1970. Practical solutions of the Behrens-Fisher problem, Journal of the American Statistical Association 65:1501--1508.
[16]
Tong, Y. L. 1980. Probability inequalities in multivariate distributions. New York:Academic Press.

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences
WSC '06: Proceedings of the 38th conference on Winter simulation
December 2006
2429 pages
ISBN:1424405017

Sponsors

  • IIE: Institute of Industrial Engineers
  • ASA: American Statistical Association
  • IEICE ESS: Institute of Electronics, Information and Communication Engineers, Engineering Sciences Society
  • IEEE-CS\DATC: The IEEE Computer Society
  • SIGSIM: ACM Special Interest Group on Simulation and Modeling
  • NIST: National Institute of Standards and Technology
  • (SCS): The Society for Modeling and Simulation International
  • INFORMS-CS: Institute for Operations Research and the Management Sciences-College on Simulation

Publisher

Winter Simulation Conference

Publication History

Published: 03 December 2006

Check for updates

Qualifiers

  • Article

Conference

WSC06
Sponsor:
  • IIE
  • ASA
  • IEICE ESS
  • IEEE-CS\DATC
  • SIGSIM
  • NIST
  • (SCS)
  • INFORMS-CS
WSC06: Winter Simulation Conference 2006
December 3 - 6, 2006
California, Monterey

Acceptance Rates

WSC '06 Paper Acceptance Rate 177 of 252 submissions, 70%;
Overall Acceptance Rate 3,413 of 5,075 submissions, 67%

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • 0
    Total Citations
  • 81
    Total Downloads
  • Downloads (Last 12 months)0
  • Downloads (Last 6 weeks)0
Reflects downloads up to 07 Mar 2025

Other Metrics

Citations

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Figures

Tables

Media

Share

Share

Share this Publication link

Share on social media