Why simulation is the future of uncertainty evaluation

In this article, I show that the conventional method for calculating uncertainty is not always reliable. In fact, it is generally only exact when the measurement can be represented by a simple linear equation and the input uncertainties are all normally distributed. Whenever the measurement is more complex, there will be errors in the way uncertainties are combined. I then show that simulation can be a much more reliable approach. Read the full article, published on engineering.com…

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