Comparison with a standard via all-pairwise comparisons

Discrete Event Dynamic Systems: Theory and Applications

Volumn 16, Issue 3, 2006, Pages 385-403

  Chen, E Jack ^a  

^a BASF CORPORATION   (United States)

Author keywords

Comparison with a standard; Indifference zone selection; Sample size allocation; Simulaton

Indexed keywords

CODES (STANDARDS); COSTS; NUMBER THEORY; PERFORMANCE; RANDOM PROCESSES; SIMULATION;

COMPARISON WITH A STANDARD; INDIFFERENCE-ZONE SELECTION; SAMPLE-SIZE ALLOCATION;

DISCRETE TIME CONTROL SYSTEMS;

EID: 33747190365     PISSN: 09246703     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10626-006-9328-9     Document Type: Article

References (22)

1. Banks J (1998). Handbook of Simulation. Wiley, New York.
2. Bechhofer RE, Santner TJ, Goldsman DM (1995). Design and Analysis of Experiments for Statistical Selection, Screening and Multiple Comparisons. Wiley, New York.
3. Chen EJ (2004). Using ordinal optimization approach to improve efficiency of selection procedures. Journal of Discrete Event Dynamic Systems 14(2); 153-170.
4. Chen EJ (2005). Using parallel and distributed computing to increase the capability of selection procedures. Proceedings of the 2005 Winter Simulation Conference. Institute of Electrical and Electronics Engineers, Piscataway, New Jersey, pp. 723-731.
5. Chen EJ, Kelton WD (2003). Inferences from indifference-zone selection procedures. Proceedings of the 2003 Winter Simulation Conference, Institute of Electrical and Electronic Engineers, Piscataway, New Jersey, pp. 456-464.
6. Chen EJ, Kelton WD (2005). Sequential selection procedures: Using sample means to improve efficiency. European Journal of Operational Research 166(1):133-153.
7. Chen CH, Lin J, Yücesan E, Chick SE (2000). Simulation budget allocation for further enhancing the efficiency of ordinal optimization. Journal of Discrete Event Dynamic Systems 10(3):251-270.
8. Chick SE, Inoue K (2001). New two-stage and sequential procedures for selecting the best system. Operations Research 49:732-743.
9. Edwards DG, Hsu JC (1983). Multiple comparisons with the best treatment. Journal of the American Statistical Association 78:965-971.
10. Hastings C Jr (1955). Approximations for Digital Computers. Princeton University Press, Princeton, New Jersey.
11. Ho YC, Sreenivas RS, Vakili P (1992). Ordinal optimization of DEDS. Journal of Discrete Event Dynamic Systems 2:61-68.
12. Kim S-H (2005). Comparison with a standard via fully sequential procedures. ACM Transactions on Modeling and Computer Simulation 15:155-174.
13. Kim S-H, Nelson BL (2001). A fully sequential procedure for indifference-zone selection in simulation. ACM Transactions on Modeling and Computer Simulation 11:251-273.
14. Law AM, Kelton WD (2000). Simulation Modeling and Analysis. 3rd edn. McGraw-Hill, New York.
15. Nakayama MK (1997). Multiple-comparison procedures for steady-state simulations. Annals of Statistics 25:2433-2450.
16. Nelson BL, Goldsman D (2001). Comparisons with a standard in simulation experiments. Management Science 47:449-463.
17. Nelson BL, Matejcik FJ (1995). Using common random numbers for indifference-zone selection and multiple comparisons in simulation. Management Science 41:1935-1945.
18. Press WH, Flannery BP, Teukolsky SA, Vetterling WT (1992). Numerical Recipes in C: The Art of Scientific Computing. 2nd edn. Cambridge University Press, Cambridge, England.
19. Rice JA (1995). Mathematical Statistics and Data Analysis. 2nd edn. Duxbury, Belmont, California.
20. Rinott Y (1978). On two-stage selection procedures and related probability inequalities. Communications in Statistics A7:799-811.
21. Swisher JR, Jacobson SH, Yücesan E (2003). Discrete-event simulation optimization using ranking, selection, and multiple comparison procedures: A survey. ACM Transactions on Modeling and Computer Simulation 13(2):134-154.
22. Tong YL (1980). Probability Inequalities in Multivariate Distributions. Academic, New York.