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Ranking and selection (R&S) techniques are statistical methods developed to select the best system, or a subset of systems from among a set of alternative system designs. R&S via simulation is particularly appealing as it combines modeling flexibility of simulation with the efficiency of statistical techniques for effective decision making. The overwhelming majority of the R&S research, however, focuses on the expected performance of competing designs. Alternatively, quantiles, which providedoi:10.1109/wsc.2010.5678971 dblp:conf/wsc/PasupathySY10 fatcat:gjqvgsdcunf3tju4i36smdr35i