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• W2022337275 abstract "We consider the problem of identifying the simulated system with the best expected performance measure when the number of alternatives is finite and small (often < 500). Recently, more research efforts in the simulation community have been directed to develop ranking and selection (R&S) procedures capable of exploiting variance reduction techniques (especially the control variates). In this article, we propose new R&S procedures that can jointly use control variates and correlation induction techniques (including antithetic variates and Latin hypercube sampling). Empirical results and a realistic illustration show that the proposed procedures outperform the conventional procedures using sample means or control variates alone. © 2012 Wiley Periodicals, Inc. Naval Research Logistics, 2012" @default.
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• W2022337275 date "2012-06-18" @default.
• W2022337275 modified "2023-09-25" @default.
• W2022337275 title "Screening and selection procedures with control variates and correlation induction techniques" @default.
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• W2022337275 doi "https://doi.org/10.1002/nav.21491" @default.
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