During the development of car engines, regression models that are based on machine learning techniques are increasingly important for tasks which require a prediction of results i...
Increased complexity of simulation models and the related modeling needs for global supply chains have necessitated the execution of simulations on multiple processors. While dist...
Recent evidence suggests that some characteristics of computer and telecommunications systems may be well described using heavy tailed distributions — distributions whose tail d...
This paper provides an overview of a simulation support environment and presents a discussion of a number of issues related to the generation of a simulation model. The need for a...
Osman Balci, Richard E. Nance, E. Joseph Derrick, ...
While the literature contains several adaptive sampling techniques for statistical comparison of competing simulated system configurations and for embedded statistical computation...