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This paper proves that it is wrong to require that regressing a model's outputs on the observed real outcomes give a 45 line through the origin (unit slope, zero intercept). Therefore this paper proposes an alter-native requirement: the responses of the model and the real system should have the...
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This paper studies simulation-based optimization with multiple outputs. It assumes that the simulation model has one random objective function and must satisfy given constraints on the other random outputs. It presents a statistical procedure for testing whether a specific input combination...
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This paper derives a novel procedure for testing the Karush-Kuhn-Tucker (KKT) first-order optimality conditions in models with multiple random responses.Such models arise in simulation-based optimization with multivariate outputs. This paper focuses on expensive simulations, which have small...
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