Simulation (Monte Carlo)

Process for modeling the behavior of a stochastic (probabilistic) system. A sampling technique is used to obtain trial values for key uncertain model input variables. By repeating the process for many trials, a frequency distribution is built up, which approximates the true probability distribution for the system’s output. This random sampling process, averaged over many trials, is effectively the same as integrating what is usually a very difficult or impossible equation.