ABSTRACT

Carlo simulation methods estimate the indices by simulating the actual process and random behavior of the system. Generally Monte Carlo simulation requires a large amount of computing time and is not used extensively if alternative analytical methods are available. The obtained indices are only as good as the model derived for the system, the appropriateness of the evaluation technique and the quality of the input data used in the models and techniques.