I have a numerical simulation where I'm randomly varying an input parameter.(adsbygoogle = window.adsbygoogle || []).push({});

This results in variations in three output parameters: A, B and C. The output parameters can be assumed to have normal distributions, but are correlated to each other.

If I calculate the mean and standard deviation on the range of values of A, B and C is there any way I could estimate the change in the mean of B and C due to a small change in the mean of A, making some account of the correlations? I was thinking of an approach based on sensitivity coefficients, but I'm not sure that's appropriate.

Any help/advice would be very welcome! Thanks!

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# Calculating Correlations and Sensitivity Coefficients

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