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Stochastic Uncertainty Estimator (SUE)

SUE is a scientific tool to simulate the uncertainty in a given mathematical relationship. It utilizes Monte Carlo methods to simulate repeated samplings from an input distribution. The program was developed by Mark E. Harmon and his colleagues in the early 2000's. With funding from QUEST, Keith Olsen has created a web-based interface for SUE. The following link allows you to download the software, create and run files for your projects, and download the source code.