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In each iteration, l, the EVS update rule computes the weighted reconstruction error e 1 as {e}_l=sqrt{sum_k{W}^2 k,k)(tilde{f}({X}_k -{widehat{f}}_k^2}, (11)where k indexes the pixels in the neighborhood and W is the weights including both the variance of the original pixels and the spatial Gaussian kernel as described in Eq. 10.
The RMSE incorporates both the variance of the estimator and its bias, and measures the overall accuracy of the point estimator.
The random-effect meta-analysis uses both the variance of the study-specific results and the estimated between-study variance in results to assign weights to the individual studies.
The mean squared error is a measure of the dispersion of the estimator around the true value of the parameter - the smaller the better - and is used for global comparative purposes between two estimation procedures, as it incorporates both the variance of the estimator and its bias.
As the number of reference bulls increased, both the variance of the estimates of single nucleotide polymorphism effects and the reliability of the direct genomic values of selection candidates increased.
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In both models the variance of the irregular component σ w 2 is different from zero.
In both cases, the variance of the new set of synchronized measurements is calculated based on the uncertainty propagation theory.
In both families, the variance of average OIE ortholog lengths was greater than nonOIE orthologs.
However, in both cases, the variance of the rates is constrained by design, for the uncorrelated models by the choice of the prior distribution (Thorne et al. 1998; Drummond et al. 2006; Drummond and Suchard 2010).
The variance of the expected number of opposing homozygotes across n loci, involves both the variance at each of the loci, but also the covariance between any pair of loci.
The OS-WLLS-I algorithm has almost identical localization accuracy to the WLLS-II algorithm, since they both utilize the variances of the measurements.
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