Sentence examples for leverage the statistical from inspiring English sources

Instead, the next generation of mobile networks (NGMN) alliance has derived guidelines for dimensioning transport networks based on busy hour utilization, which leverage the statistical multiplexing occurring in practical networks [23].

To better understand how these external models support design decisions, we can leverage the statistical methods of design of experiments to identify insights into a complex system design problem.

We leverage the statistical description of the model and propose an SMC solution in Section 4. After an outline of the key concepts of the SMC technique in subsection 4.1, in the following subsection, we present a novel SMC method for inference of latent time-series with non-i.i.d.

Frequency-based methods are best equipped to leverage the statistical benefits of large datasets, but they may be subject to some weaknesses that amino acid-change-based methods can mitigate.

This investigation was achieved by leveraging the statistical power of a nationwide healthcare database to conduct a cohort study analysis adjusting for a panel of comorbidities predictive of COPD prognosis as well as COPD severity in accordance with Global Initiative for Chronic Obstructive Lung Disease (GOLD) guidelines [ 23].

At the end, permeability reduction data gathered from the literature were analyzed for outlier diagnosis using the leverage statistical algorithm along with providing full details of the implemented method.

The Leverage statistical approach is herein applied for evaluation of experimental data of the paraffin waxes/diamondoids solubility in gaseous systems.

The statistical Leverage analysis was employed for the examination of the outlier and doubtful data.

Concatenations of representative proteins give results consistent with much larger concatenations of randomly selected proteins for phylogenetic problems with known answers, so there is reason to believe that representative proteins can also provide the statistical leverage necessary to shed light on deep unresolved branches that remain controversial even with the use of all ubiquitous genes.

The applied algorithm is performed on the basis of the Leverage mathematical approach, in which the statistical Hat matrix, Williams Plot, and the residuals of a selected correlation results lead to define the probable outliers.

These typically leverage the techniques learned from statistical machine learning, coupled with ensemble architectures that create multiple feature detection models.