Sentence examples for multivariate technique that from inspiring English sources

A popular multivariate technique that is used to explore the underlying structure in data is called principal component analysis (PCA).

SEM is a multivariate technique that allows the simultaneous estimation of multiple equations.

Discriminant analysis is the ideal statistical multivariate technique that deals simultaneously with large numbers of confounding variables [8, 9].

Discriminant analysis is a statistical multivariate technique that deals simultaneously with a large number of confounding variables.

Searchlight accuracy based on the neighboring voxels' contribution to classification for selecting the voxels is also a multivariate technique that considers spatial closeness of the voxels [40].

Structural equation modelling (SEM) is a multivariate technique that allows the simultaneous estimation of multiple equations comprising factor analysis, multiple regression analysis, and path model analysis [28].

Factor analysis is one of the significant multivariate techniques that perform through PCA method.

This semianalytical modeling approach is a generalized nonlinear multivariate regression technique that is rooted in signal processing.

PCA is a multivariate eigenanalysis technique that is applicable to datasets that are approximately normally-distributed with variables that are linearly related [37].

This was also shown in a principal component analysis, which is an exploratory multivariate statistical technique that allows identification of variables in a multidimensional data set that explains differences or similarities between observations better than hierarchical clustering (Figure 5).

The PCoA is a multivariate ordination technique that describes underlying patterns in a dataset.