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 naive forecasting model, which uses period one betas as forecasts of their corresponding period two counterparts, produces forecasts with

mean square error of .07 and mean absolute error of .202.

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:

The expectations of the

mean squares were used to verify the

mean square of the appropriate residue for the analysis of each factor and the respective approximate F test.