Sequential selection procedures: Using sample means to improve efficiency

European Journal of Operational Research

Volumn 166, Issue 1 SPEC. ISS., 2005, Pages 133-153

  Chen, E Jack ^a   Kelton, W David ^b  

^a BASF CORPORATION   (United States)

^b UNIVERSITY OF CINCINNATI   (United States)

Author keywords

Indifference zone; Ranking and selection; Sample size allocation; Simulation

Indexed keywords

APPROXIMATION THEORY; COMPUTER SIMULATION; PROBABILITY; PROCEDURE ORIENTED LANGUAGES; STATISTICAL METHODS; SYSTEMS ANALYSIS; UNCERTAIN SYSTEMS;

INDIFFERENCE ZONE; RANKING AND SELECTION; SAMPLE-SIZE ALLOCATION;

DISCRETE TIME CONTROL SYSTEMS;

EID: 13544273215     PISSN: 03772217     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ejor.2003.01.003     Document Type: Article

References (19)

1. Banerjee S. On confidence interval for two-means problem based on separate estimates of variances and tabulated values of. t -tables Sankhya A. 23:1961;359-378
2. Bechhofer R.E., Santner T.J., Goldsman D.M. Design and Analysis of Experiments for Statistical Selection, Screening and Multiple Comparisons. 1995;John Wiley & Sons, Inc., New York
3. Berger J.O., Deely J. A Bayesian approach to ranking and selection of related means with alternative to AOV methodology. Journal of the American Statistical Association. 83:1994;364-373
4. Chen, E.J., 2001. Using common random numbers with two-stage selection procedures. In: Proceedings of the 2001 Winter Simulation Conference, pp. 408-416
5. Chen, E.J., 2002. A conservative adjustment to the ETSS procedure. In: Proceedings of the 2002 Winter Simulation Conference, pp. 384-391
6. Chen, E.J., Kelton, W.D., 2000. An enhanced two-stage selection procedure. In: Proceedings of the 2000 Winter Simulation Conference, pp. 727-735
7. Chen C.H., Lin J., Yücesan E., Chick S.E. Simulation budget allocation for further enhancing the efficiency of ordinal optimization. Journal of Discrete Event Dynamic Systems. 10:2000;251-270
8. Chen, E.J., Chen, C.H., Kelton, W.D., 2004. Optimal computing budget allocation of selection procedures. Working Paper
9. Chick S.E., Inoue K. New two-stage and sequential procedures for selecting the best system. Operations Research. 49:2001;732-743
10. Dudewicz E.J., Dalal S.R. Allocation of observations in ranking and selection with unequal variances. Sankhya B. 37:1975;28-78
11. Gupta S.S., Miescke K.J. Bayesian look ahead one stage sampling allocations for selecting the largest normal mean. Statistical Papers. 35:1994;169-177
12. Gupta S.S., Miescke K.J. Bayesian look ahead one-stage sampling allocations for selecting the best population. Journal of Statistical Planning and Inference. 54:1996;229-244
13. Kim S.-H., Nelson B.L. A fully sequential procedure for indifference-zone selection in simulation. ACM TOMACS. 11:2001;251-273
14. Law A.M., Kelton W.D. Simulation Modeling and Analysis. third ed.:2000;McGraw-Hill, New York
15. Nelson B.L., Swann J., Goldsman D., Song W. Simple procedures for selecting the best simulated system when the number of alternative is large. Operations Research. 49:2001;950-963
16. Rice J.A Mathematical Statistics and Data Analysis. second ed.:1995;Duxbury Press, Belmont, CA
17. Rinott Y. On two-stage selection procedures and related probability inequalities. Communications in Statistics A. 7:1978;799-811
18. Tong Y.L Probability Inequalities in Multivariate Distributions. 1980;Academic Press, New York
19. Wilcox R.R. A table for Rinott's selection procedure. Journal of Quality Technology. 16:1984;97-100