The air turbulence intensity changes between 17 and 31%, while the air velocity root mean square
changes between 0.033 m/s (0.11 ft/s) and 0.1 m/s (0.33 ft/s).
Least Mean Square
(LMS) And Normalized (LMS) Algorithm.
EXPONENTIAL STABILITY IN MEAN SQUARE
OF STOCHASTIC COCYCLES
RMS or root mean square
is an older method, not common today, averaging only the heights of all points measured in one cutoff length.
The result of Higham, Mao and Stuart  additionally proves strong mean square
convergence rate 0.5 of the split step Euler Backward method on a given finite interval [0,T].
(c.) The root mean square
error is computed by taking the difference between an actual value and its forecasted value at any point in time, squaring this difference, averaging the set of these differences at all points in time, and then taking the square root of this average.
To attempt this, she evaluated 20 interest rate, money, foreign exchange, unemployment and output measures using the root mean square
errors (RMSE) of their inflation forecasts as a criterion and the naive forecast of unchanged inflation as a benchmark.
The present study used the same external criterion of the author of the package, i.e., the Prediction Mean Square
Advantages of the mean absolute error (MAE) over the root mean square
error (RMSE) in assessing average model performance.
In this study, the mean square
error (MSE), root mean square
error (RMSE), normalized root mean square
error (NRMSE), mean absolute error (MAE), and mean absolute percentage error (MAPE) were calculated using the following equations, which are the indexes of forecasting accuracy: