Sentence examples for multivariate statistical procedure from inspiring English sources

This study suggests a methodology for damage diagnosis in structures, which is based on a multivariate statistical procedure and uses the measured time domain structural vibration response.

The dynamic model developed was preceded by a conventional multivariate statistical procedure performed to discriminate the significant relationships between conceptually isolated key-components of the studied ecosystems.

The dynamic model developed was preceded by a conventional multivariate statistical procedure performed to discriminate the significant relationships between the selected components of the studied watersheds.

The dynamic model developed was preceded by a conventional multivariate statistical procedure performed to discriminate the significant relationships between the selected ecological components.

We compared associations between 94 different brain regions of interest derived from structural MRI scans and 533,872 genome-wide SNPs using a novel multivariate statistical procedure, parallel-independent component analysis, in a large, national multi-center subject cohort.

The canonical discriminant analysis as a multivariate statistical procedure was applied and differentiated the soils according to their geochemical behavior into four clusters i.e., 1) Eutric Fluvisols, Calcic Luvisols, and Haplic Calcisols; 2) Egyptian Fluvisols (Eutric and Sodic); 3) Haplic Calcisols; and 4) Tidalic Fluvisols.

Illustrates the methods and abilities of multivariate statistical procedures in survey data analysis and product positioning studies.

The spatial heterogeneity (i.e., microbial beta-diversity) of whole PLFA profiles from each field were analyzed using multivariate statistical procedures (PCA and PERMDISP), and those of individual PLFAs were analyzed using Levene's and Moses' tests.

Unfortunately, some of the multivariate statistical procedures used in the present study rely on the assumption of independency of observations.

To do so, common multivariate statistical procedures – data grouping techniques, factor analysis, cluster analysis, indexing and others – could be used.

After digital image analysis densitometric data files were created and subsequently used for multivariate statistical procedures.