Monte Carlo Simulation is a computational algorithm that relies on repeated random sampling to obtain numerical results. It's particularly useful for assessing the probability distributions of complex systems.
In statistics, a probability density function (PDF) defines the likelihood of a discrete or continuous random variable taking specific values or a range of values, respectively.
