This paper discusses validation and verification of simulation models. The different approaches to deciding model validity are presented; how model validation and verification rel...
In reviewing topics in simulation output analysis, we advocate univariate analysis, micro/macro replications based on fixed sample sizes, overlapping batches, batch sizes based on...
An important step in designing stochastic simulation is modeling the uncertainty in the input environment of the system being studied. Obtaining a reasonable representation of thi...
Bayesian methods are now used in a variety of ways in discrete-event simulation. Applications include input modeling, response surface modeling, uncertainty analysis, and experime...
There is a general understanding in the simulation community that simulation is not reaching its full potential and is not widely used despite its well-known (among simulationists...