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» Simulation metamodels for modeling output distribution param...
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80
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WSC
2007
14 years 12 months ago
Simulation metamodels for modeling output distribution parameters
Metamodels are functions with calibrated parameters, used actions and simplifications of the simulation model. A metamodel exposes the system’s input-output relationship and ca...
Isabel R. Santos, Pedro R. Santos
EOR
2011
127views more  EOR 2011»
14 years 4 months ago
Methodology for determining the acceptability of system designs in uncertain environments
In practice, managers often wish to ascertain that a particular engineering design of a production system meets their requirements. The future environment of this design is likely...
Jack P. C. Kleijnen, Henri Pierreval, Jin Zhang
WSC
1998
14 years 11 months ago
Bootstrapping and Validation of Metamodels in Simulation
Bootstrapping is a resampling technique that requires less computer time than simulation does. Bootstrapping -like simulation-must be defined for each type of application. This pa...
Jack P. C. Kleijnen, A. J. Feelders, Russell C. H....
77
Voted
WSC
2001
14 years 11 months ago
Reducing input parameter uncertainty for simulations
Parameters of statistical distributions that are input to simulations are typically not known with certainty. For existing systems, or variations on existing systems, they are oft...
Szu Hui Ng, Stephen E. Chick
WSC
1997
14 years 11 months ago
Bayesian Analysis for Simulation Input and Output
The paper summarizes some important results at the intersection of the fields of Bayesian statistics and stochastic simulation. Two statistical analysis issues for stochastic sim...
Stephen E. Chick