Ratios of

mean square components associated with variance of GCA and SCA effects were computed as suggested by Baker (1978) to estimate the relative importance of GCA in explaining progeny performance.

The root

mean square errors reflecting the combined effects of standard errors and bias differed with different conditions and test lengths, as discussed.

ABSTRACT: The paper exhibits a relative study of different alternates of LMS adaptive procedure for structure identification and also it helps to compare different variants of LMS with the standard LMS by considering the minimum

mean square error,convergence speed and tracking proficiency.

Mustapha and all describe the use of Root

Mean Square Deviation (RMSD) techniques in the structural health monitoring of composite structures.

Wiener filter gives an estimate of the original uncorrupted image with minimum

mean square error, and hence Wiener filter is the best filter used for removing the noise present in the lung CT image[15].

The balance stability was measured by computing the area, the sway path, and the root

mean square of the COP motion, whereas the structure of the postural control was assessed by computed approximate entropy, fractal dimension, and the mean power frequency.

The expressions for the

mean square error and bias of the proposed estimator were derived.

In the first step, we estimate these univariate models and observe their in-sample and out-of-sample forecasting performance over three short-term scenarios of 3, 6 and 12 months through the Root

Mean Square Error (RMSE).

The mean values for filtered QRS complex, low amplitude signals and root

mean square voltage in patients with and without left ventricular hypertrophy were 118.

In order to quantitatively analyze the effect of underwater acoustic signal predicting modeling method with genetic algorithm, the root

mean square error and the signal error ratio are used.