Historical data suggest that returns of stocks and indices are not distributed independent and identically Normal, as is commonly assumed. Instead, returns of financial assets are...
Research in parallel simulation has been around for more than two decades. However, the number of papers reporting on its application to real world problems is limited. At the 200...
Reinforcement Learning (RL) is a simulation-based technique useful in solving Markov decision processes if their transition probabilities are not easily obtainable or if the probl...
“See and Treat” in an Emergency Department combines the process of patient assessment with treatment in the expectation that it will increase patient throughput and decrease q...
We investigate the application of the likelihood ratio method (LRM) for sensitivity estimation when the relevant density for the underlying model is known only through its charact...
This paper develops procedures for selecting a set of normal populations with unknown means and unknown variances in order that the final subset of selected populations satisfies ...
In this paper, we discuss the design and use of an objectoriented framework for simulating full truckload (FTL) networks. We present a context for how the framework can be used th...
The C source code associated with the Simulation 101 preconference workshop (offered at the 2006 and 2007 Winter Simulation Conferences) is presented here. This paper begins with ...
Medical Imaging Centers (MIC) are critical units in every hospital or medical center because they are an important step in generating a patient's diagnostic. This paper shows...
Francisco J. Ramis, Felipe F. Baesler, Edgar Berho...
We develop and evaluate a two-level simulation procedure that produces a confidence interval for tail conditional expectation, otherwise known as conditional tail expectation. Th...