Title :
Indifference-zone subset selection procedures: Using sample means to improve efficiency
Author_Institution :
BASF Corp., Rockaway
Abstract :
Two-stage selection procedures have been widely studied and applied in determining the required sample size (i.e., the number of replications or batches) for selecting the best of k systems and for selecting a subset. The enhanced two-stage selection procedure is a heuristic two-stage selection procedure that takes into account not only the variance of samples, but also the difference of sample means when determining the sample sizes. This paper discusses the use of the same technique to select a subset of size m that contains at least c of the v best of k systems. Numerical experiments indicate that the proposed sample size allocation strategy is superior to other methods in the literature.
Keywords :
set theory; statistical analysis; heuristic two-stage selection procedure; indifference-zone subset selection procedures; sample size allocation strategy; Bayesian methods; Control systems; Convergence; Discrete event simulation; Inference algorithms; Lifting equipment;
Conference_Titel :
Simulation Conference, 2007 Winter
Conference_Location :
Washington, DC
Print_ISBN :
978-1-4244-1306-5
Electronic_ISBN :
978-1-4244-1306-5
DOI :
10.1109/WSC.2007.4419645