Sentence examples for importance of the correlation from inspiring English sources

The importance of the correlation of wind loading on the wind damage estimation for roof panels is highlighted.

This paper examines the importance of the correlation between hydraulic conductivity (K) and degradation rate constant (k) during the transport of reactive contaminants in heterogeneous aquifers.

Bivariate analysis shows the crucial importance of the correlation between the grain size and its number of sides and provides a more fundamental underpinning to modeling of Grain Growth.

For example, the importance of the correlation

The importance of the correlation was evaluated as being large (> 0.34), moderate (0.20 0.34) or small (< 0.19), using equivalence formula between Pearson correlation coefficient and Kendall tau rank correlation [ 39].

Our study of HIV evolution over time in five ethnically diverse populations perhaps most clearly demonstrates the broader importance of the correlation between HLA and subtype-specific polymorphisms in HIV Gag.

The importance of the correlations developed in the present work is that they allow estimation and comparison of the shear conditions in cultures as a function of the operating conditions (N, φair), rheological properties of the fluid (K and n), and volumetric oxygen transfer coefficient (kLa) in conventional bioreactors equipped with different impeller configurations in turbulent flow regime.

Conodonts had perhaps their greatest diversification during the Late Devonian and are of major importance for the correlation of rock layers.

The literature has hitherto not recognized the importance of this correlation for the structure of optimal contracts and for extending the revelation principle to address agency (moral hazard) problems.

However, the functional importance of this correlation remains to be addressed.

Murai (2007) demonstrated the importance of the spatial correlation by evaluating Q−1 and Δ v of SH waves in media with periodically arrayed cracks, and with ϵ = 0.1, through numerical experiments.