Sentence examples for statistical decomposition from inspiring English sources

The sigma-moments are obtained from high quality quantum chemical calculations using the continuum solvation model COSMO and a subsequent statistical decomposition of the resulting polarization charge densities.

MCR-ALS is a statistical decomposition method that can resolve mixtures by determining the number of independent "pure components", their response profiles, and their estimated concentrations, when no prior information is available about the nature and composition of these mixtures.

When presented with redundant or overdetermined data, statistical decomposition methods can also be used to extract the key varying components within the data set, such as principal component analysis (PCA) [39].

We apply appropriate statistical techniques (decomposition analysis and fixed effect regression models) to describe trends in diarrhoea prevalence, identify the actual sources of changes and assess the contribution of selected factors in the observed changes.

More broadly, in this paper we demonstrate the symbiotic and synergistic combination of statistical learning, domain decomposition, and scientific computing in exascale simulations.

We conducted a statistical analysis (variance decomposition) to evaluate the coefficient of variation (CV) of the Vitrocell® 24/48 system itself compared with the effect of three independent exposure runs.

Stanwell, P. et al. Neuro magnetic resonance spectroscopy using wavelet decomposition and statistical testing identifies biochemical changes in people with spinal cord injury and pain.

Relations between the statistical synthesis and optimal decomposition of IMS projects are analysed.

This decomposition exposes statistical dependencies that the top layer in the model captures as two types of invariances: spatial and transformational.

In particular, we have used phase planes, temporal decomposition, and statistical analysis to show hRBC metabolism is characterized by the formation of pseudoequilibrium concentration states.

Wavelet decomposition and statistical moments have proved their feasibility of image forgery detection in [8, 9, 11].