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RMS stands for 'root-mean-square' is a measure of the typical size of a varying quantity. It occurs in the n-denominator form of standard deviation (the RMS deviation from the mean)
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Root Mean Square Error of the addition of two measurements whose RMS Error is known
RMSE with respect to what number/target exactly? If it's the mean (or expected value of each variable) you're comparing these numbers to, then I've got some good news about MSE/Variance in the theoret …