Estimating the variance of the sample mean from a stochastic process is essential in assessing the quality of using the sample mean to estimate the population mean which is the fu...
This paper reports on the development and validation of an agent based simulation model of air traffic control arrival operations. The simulation model includes modeling of both t...
In utilizing the technique of stratification, the user needs to first partition/stratify the sample space; the next task is to determine how to allocate samples to strata. How to ...
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...
This paper describes a framework of real-time simulation for modeling heavy construction operations. Compared with the traditional offline simulation that uses stationary inputs, ...