Every month, QP highlights an open-access article from one of ASQ's seven other journals. This month, make sure you read "Quantile-based Optimization of Noisy Computer Experiments With Tunable Precision," which appeared in February's edition of Technometrics. ASQ co-publishes Technometrics four times a year with the American Statistical Association. The article, written by Victor Picheny, David Ginsbourger, Yann Richet and Gregory Caplin, addresses kriging-based optimization of stochastic simulators.
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