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» Bootstrapping and Validation of Metamodels in Simulation
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WSC
1998
13 years 6 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....
EOR
2006
113views more  EOR 2006»
13 years 5 months ago
Validation of regression metamodels in simulation: Bootstrap approach
Simulation experiments are often analyzed through a linear regression model of their input/output data. Such an analysis yields a metamodel or response surface for the underlying ...
Jack P. C. Kleijnen, David Deflandre
TMI
2008
118views more  TMI 2008»
13 years 3 months ago
A Note on the Validity of Statistical Bootstrapping for Estimating the Uncertainty of Tensor Parameters in Diffusion Tensor Imag
Abstract--Diffusion tensors are estimated from magnetic resonance images (MRIs) that are diffusion-weighted, and those images inherently contain noise. Therefore, noise in the diff...
Ying Yuan, Hongtu Zhu, Joseph G. Ibrahim, Weili Li...
TVLSI
2008
152views more  TVLSI 2008»
13 years 4 months ago
MMV: A Metamodeling Based Microprocessor Validation Environment
With increasing levels of integration of multiple processing cores and new features to support software functionality, recent generations of microprocessors face difficult validati...
Deepak Mathaikutty, Sreekumar V. Kodakara, Ajit Di...
EOR
2011
127views more  EOR 2011»
13 years 11 days 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