Sentence examples for difference between the weighted from inspiring English sources

Exact(9)

Nearly in all instances, the difference between the weighted and the unweighted means was small and lesser than the standard error of the unweighted mean.

Unlike the Bark-scale case in Fig.6, there is now a visible difference between the weighted equation-error and optimal least-squares mappings for the ERB scale.

In the weighted strategy, the balancing process aims to reduce the difference between the weighted QoE indicator of each service and the mean value of the other services, computed as Delta overline{text{QoE}}_{j}^{W}=overline{text{QoE}}_{j}^{W}-overline{text{QoE}}_{kne j}^{W} quad, (16).

Since seismic waves attenuate with distance from the seismic source, the difference between the weighted center of the asperity distribution and that of the estimated slip deficit distribution may cause an inaccuracy in predicting strong ground motion by a future earthquake.

According to the results shown in Fig. 9, the difference between the weighted center of the true asperity distribution, and that of estimated slip deficit, does not have a strong dependence on D. This conclusion holds even if the observation network is located above the plate interface, as is demonstrated in the case of D = 50 km.

The difference between the weighted fitting method and the baseline method is statistically significant (p < 0.05).

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Similar(51)

No meaningful differences occurred between the weighted and the unweighted data.

e – Difference between the weighted-average fraction for the 3' fragment and the 5' fragment.

Firstly, differences between the weighted and unweighted sample are small, suggesting that the unweighted sample closely reflected the total population.

Costs attributable to complications are then calculated as the difference between the higher weighted and the lower weighted DRG of catheterization.

Possibly the most notable difference between our weighted contribution method and the standard, non weighted version, is with respect to "small" datasets - those having few significant correlations.

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