For prediction accuracy we used the mean absolute error (MAE), i.e. the mean of the absolute prediction error between the observed and estimated individual EQ-5D weights, and mean square error (MSE), the latter taking into account both the bias and variation of the error.
Another parameter radius of gyration (Rg) defined as the mass-weight root mean square distance of collection of atoms from their common centre of mass was helpful in giving further insight into the structural changes due to mutation and the overall dimension of the protein.
Letting w ∈ Δ n be the weight vector, we define the weighted mean square deviation as In this study, rotation and translation are precomputed so that they are optimized in the sense of the unweighted mean square distribution.
R g is a geometrical quantity, which is defined as a weight averaged root mean square distance of elements (and in this case, scattering centers) from the center of mass.
By Itô formula and a novel free-weight method, the almost surely mean square exponentially stable (ASMSES) condition of the error system is conveniently obtained and the corresponding filter design method is finally presented.
For PLS model prediction of the mAb monomer and the high molecular weight variants (HMWs), the root mean square error (RMSE) was 1.07 g/l and 0.42 g/l respectively.
The fusion estimate of the state of a dynamic system represents the optimal linear fusion by weighting matrices under the minimum mean square error criterion.
To suppress noise and to enhance signal reception after the fuzzy MOE detector, a signal subspace projection and minimum mean square error weight combiner is proposed to enhance signal-to-interference-plus-noise ratio and bit error rate performances.
Section 3 presents and evaluates mean square error optimal weighting factors for the log-spectrum.
In the second step, a common component of all the estimated permanent factors of each production function component is extracted from weighting them according to the root mean square error of that estimate.
The root mean square error (RMSE; the positive square root of the average squared prediction error, which attaches greater weight to larger errors) and adjusted R were also reported.
