Sentence examples for by multivariate statistical methods from inspiring English sources

Demographic analysis was done by multivariate statistical methods.

The objective of this study include identification of water types, origin, and geochemical processes influencing the composition of water by multivariate statistical methods such as correlation matrix and principal component analysis (PCA).

The results obtained by multivariate statistical methods can be used to suggest to stakeholders, for example, a mitigation in the groundwater overuse of some wells mostly in dry seasons and to require orderly quality tests of the channel waters when they are used for crop irrigation.

Immunoblot data were analyzed by multivariate statistical methods, using IGOR software (Wavemetrics, Lake Oswego, OR), including specially written software packages.

Such scores (for example, APACHE II or SAPS II) are developed by multivariate statistical methods.

Geometric morphometrics uses homologous-points-based data (landmarks) that are then scaled and superimposed for shape analysis by multivariate statistical methods (Klingenberg, 2010).

Owing to this fact, it is necessary to perform one or several data transformations in order to project them in Euclidean space, used by most multivariate statistical methods.

Bearing in mind the limitations of this study (see below), we have shown that it is possible to distinguish ADHD subjects from age matched controls by applying multivariate statistical methods to regional L-[C]DOPA Ki values.

It could be detected by descriptive and multivariate statistical methods.

Robust prediction models for the spatial distribution of grassland vegetation, molluscs and carabids in a study area at the Middle Elbe Germanyy) had to be generated by means of multivariate statistical methods.

Mineralogical (X-ray diffraction) and geochemical (X-ray fluorescence) compositional data of Alpine Tethyde mudrocks from Sicily were used to unravel the interplay of provenance and diagenesis by means of multivariate statistical methods (PCA, discriminant function analysis) designed for non-negative constant-sum data.