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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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Compare RMSE for the same model but varying sample size

My empirical research is based on a variable $a_{i,t} \sim f(\mathrm{RMSE})$, i.e. it is based on the root mean squared error (RMSE) of a certain regression model $Y_{i,t} = f(X_{i,t}, \beta) + \epsil …
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