Monte Carlo Simulation

Named after the famous casino town, this computational technique relies on repeated random sampling to estimate the probability of certain outcomes. Instead of providing a single deterministic solution, it offers a probability distribution, allowing decision-makers to understand risks and uncertainties inherent in predictions and forecasts.

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