Sentence examples for estimates the sum of from inspiring English sources

The relay node estimates the sum of the two signals, which is the general scheme of PNC mapping [8].

Another approach was used in [8], where the relay estimates the sum of two transmitted messages and forwards it during the next time slot.

Under this setup, at every given frame, a given cell estimates the sum of log throughputs of the users within itself for all possible combinations of transmit power levels of itself and its neighboring cells.

More precisely, using the notation of Figure 1, the three-population test statistic f3(C; A′, B′) estimates the sum of two directly competing terms: − αβF2(A″, B″), the negative quantity arising from admixture that we wish to detect, and α F2(A″, A) + β F2(B″, B) + F2(C, C″), a positive quantity from the "off-tree" drift branches.

Figures 1– 3 show the results (boxplots of the individual parameter estimates, the sum of the estimated standard errors for all parameters and the power for testing various hypotheses) evaluated over 500 simulation replicates for scenarios C, E, and F. In scenario C, the risk of disease depends on the maternal and child genotypes but there are no imprinting or interaction effects.

Merrill analysts estimate the sum of United News parts at 630p, and the shares jumped 291C2p to 6291C2p.

We estimate the sum of the negative power of all resonances and eigenvalues in terms of the norm of the potential and the diameter of its support.

Total radiation for each pixel on a topographic surface is calculated by estimating the sum of the direct and diffuse radiation across all of North America [4, 5, 31].

As we will see, their proofs are simple and based on the famous Hölder inequality for both integrals and sums and the fact that we can estimate the sum of a decreasing function by an integral.

For a given significant SNP, we estimated the sum of squares of residuals from the reduced model (SSErm) without the SNP effect and the sum of squares of residuals from the full model (SSEfm).

For each independent variable (j) evaluated, we estimated the sum of Akaike weights (∑ωi) as the sum of the ω i from each model in which j was a statistically significant predictor of the outcome (Burnham and Anderson 2002).