Sequential selection procedures: Using sample means to improve efficiency

Two-stage selection procedures have been widely studied and applied to determine appropriate sample sizes for selecting the best of k designs. However, standard “indifference-zone” procedures are derived with a statistically conservative least-favorable-configuration assumption. The enhanced two-sta...

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Bibliographic Details
Published in:European journal of operational research 2005-10, Vol.166 (1), p.133-153
Main Authors: Chen, E.Jack, Kelton, W.David
Format: Article
Language:English
Subjects:
Applied sciences
Exact sciences and technology
Indifference zone
Mathematical programming
Operational research and scientific management
Operational research. Management science
Ranking and selection
Ratings & rankings
Sample-size allocation
Selection
Simulation
Studies
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Summary:Two-stage selection procedures have been widely studied and applied to determine appropriate sample sizes for selecting the best of k designs. However, standard “indifference-zone” procedures are derived with a statistically conservative least-favorable-configuration assumption. The enhanced two-stage selection (ETSS) is a procedure that takes into account not only the variance of samples but also the difference between sample means when determining the sample sizes. This paper discusses an implementation of sequential ranking and selection procedures due to the ETSS procedure to avoid relying too much on information obtained in just one stage. We show that the needed ratios of sample sizes to maximize the probability of correct selection is approximately maintained at all iterations. An experimental performance evaluation demonstrates the efficiency of our sequential procedures.
ISSN:0377-2217
1872-6860
DOI:10.1016/j.ejor.2003.01.003