Sentence examples for a multivariate technique for from inspiring English sources

Grade of Membership (GOM) analysis, a multivariate technique for studying disease, was used to explore depressive typology and relationships between depression and anxiety.

PCA is a multivariate technique for explaining the correlation between explanatory variables and automatically organizing these parameters into a few linear synthetic variables with different weights.

Cluster analysis is a multivariate technique used for organizing observed data into meaningful taxonomies, groups, or clusters on the basis of their similarity.

Factor analysis is a multivariate technique that allows for the combination of multiple variables into few factors based on their degree of correlation, thereby reducing the number of elements included in the analysis.

To examine these relationships, we used partial least squares (PLS) regression, a multivariate technique that accounts for the correlation structure of multiple climatic variables and provides an intuitive method for visualizing the distribution of human WNV risk in climatic space as biplots.

13 We used canonical correlation analysis, a multivariate technique, to specifically search for the linear combination ("canonical variate") of the 11 NP tests that related most strongly to a corresponding linear combination of the set of predictors under consideration.

Pattern recognition (PR) is a multivariate technique that is well suited for the qualitative, active-inactive, data that is often supplied by biological assays.

Correspondence analysis is an exploratory multivariate technique for the graphical and numerical analysis [ 29] designed to analyse the relationships among a set of categorical variables [ 21].

In this article a review on the recent applications of multivariate techniques for optimization of electromigration methods, is presented.

Some applications of other multivariate techniques for optimization of chromatographic methods are also summarized.

It also supports the feasibility of biodiversity studies based on multivariate techniques for setting conservation priorities over complex landscapes.