Sentence examples for variety of correlations from inspiring English sources

There exists a variety of correlations for predicting HHV from ultimate analysis of fuels.

It analyzes the data in aggregate, and comes to understand when optimum yield is likely or not, based on a wide variety of correlations.

Detailed design analysis of an ambient-pressure, membrane-based heat pump serves as a basis for examining the applicability of a variety of correlations used in coupled heat and mass transfer devices that include membranes and aqueous electrolyte streams.

By calculating radial distribution functions of the density of interfacial area as a function of the mean interfacial curvature of these bicontinuous microstructures, it is found that long-range diffusive interactions, in combination with the morphology of the system, yield a variety of correlations and anticorrelations over a range of length scales.

The advent of systems biology brought about new types of data, such as expression level and protein-protein interactions, and unexpectedly, a variety of correlations between protein evolution rate and these variables have been observed.

In the course of this analysis we also identified a variety of correlations between intron features, as well as between intron features and structural features encoded at the respective exon-exon boundaries (data not shown).

We see that, once the two models are constrained to have the same pairwise correlation ρ and firing rate μ, the rest of their population statistics match almost exactly over the full range of population sizes, for firing rates (mu =0.1) and a variety of correlation values ρ.

The impact of a variety of correlation models could be explored [11], [56].

Multivariable Poisson and negative binomial models fit by GEE were investigated using a variety of correlation structures (Table 5).

In addition, GEE allows for a wide variety of correlation structures to be explicitly modeled and is more interpretable that repeated measures ANOVA.

For example, the HRC and the motion energy model are 2-point correlators that decode velocity from 2-point correlations, whereas the Bayes optimal motion estimator capitalizes on a wider variety of correlation functions (Potters and Bialek, 1994; Fitzgerald et al., 2011).