Monte Carlo reliability modeling

A mathematical technique that generates random variables (time-to-failure distribution when modeling the reliability of a system) for modeling risk or uncertainty of a system. The approach incorporates all available information and relationships including continuous, discrete, and categorical data. It provides a means to aggregate information that may be discrete, continuous, or the output of deterministic and/or stochastic processes.