We consider the output of a simulation model of a system about which little is initially known. This output is often dependent on a large number of factors. It is helpful, in exam...
STRACTION FOR DISCRETE EVENT SYSTEMS USING NEURAL NETWORKS AND SENSITIVITY INFORMATION Christos G. Panayiotou Christos G. Cassandras Department of Manufacturing Engineering Boston ...
Christos G. Panayiotou, Christos G. Cassandras, We...
We extend the basic theory of kriging, as applied to the design and analysis of deterministic computer experiments, to the stochastic simulation setting. Our goal is to provide fl...
This tutorial explains the basics of linear regression metamodels—especially low-order polynomials—and the corresponding statistical designs—namely, fractional factorial des...
In simulation modeling and analysis, there are two situations where there is uncertainty about the number of parameters needed to specify a model. The first is in input modeling w...