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 [6] 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 Error (PMSE).
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: