Sentence examples for corresponding variance from inspiring English sources

Results could be readily extrapolated to a three-dimensional medium by modifying the corresponding variance functions.

Soil resistance is estimated from 50 × 25 × 1-m grid blocks, and the corresponding variance is derived.

As the sources of variability are hierarchical in nature, the estimation of corresponding variance components would also require successive subsampling.

As well as the expected value, the corresponding variance may be useful for estimating, for example, the uncertainty bounds of the calculated discounted costs.

The considered strategy permits to obtain parameter estimation by means of the substitution method based on the empirical functional, and to achieve the corresponding variance estimator.

It is observed that the optimization enables a sharp increase in the mean value of efficiency while reducing the corresponding variance, thus leading to more robust NES designs.

We conclude that even in highly noisy scenarios the bias for log-Rician signals remains moderate when compared to the corresponding variance.

Results showed that the maximum error at different heights was 9.09%; the average of the maximum error was 6.35%, and its corresponding variance was 2.12; the minimum error was 4.18%; the average of the minimum error was 5.99%, and its corresponding variance was 0.50.

Four representative noise models, namely, α-stable, generalized Gaussian, Student׳s t and Gaussian mixture processes, are investigated, and the corresponding variance expressions are derived for linear and nonlinear parameter estimation problems at p≥1.

We establish asymptotic properties of the empirical likelihood estimators for covariate-specific ROC curves and covariate-independent ROC curves and give their corresponding variance estimators.

The importance measures proposed not only inherit the advantages of the traditional moment-independent importance measures, but also reflect the intrinsic relationship of the moment-independent measures and the corresponding variance-based importance measures.