Examples of using Multivariate techniques in English and their translations into Portuguese
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Medicine
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Ecclesiastic
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Computer
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Official/political
through the use of multivariate techniques and a predominantly qualitative approach.
more continuous dependent variables ANOVA, and multivariate techniques the data described above are about variables that are considered correlated,
the heterogeneity of criteria used throughout the analytical stages of the multivariate techniques.
The archetypal analysis is also a multivariate technique that seeks to reduce the dimensionality of the data,
Cluster analysis is a multivariate technique whose basic aim is to gather objects in relation to certain characteristics of interest groups.
The multivariate technique of main components was used
SEM is a multivariate technique that allows simultaneously analyzing a series of relationships between measured variables
To estimate the indices we opted for the multivariate technique of factorial analysis, with decomposition in main componentes. considering the obtai.
Specifically, we use the multivariate technique of multiple correspondence analysis( mca),
The PCA is a multivariate technique that allows the reduction of the data set dimensionality with many interrelated variables.
was operationalized through the application of multivariate technique of confirmatory factor analysis- structural equation modeling.
generated by the multivariate technique factor analysis fa.
by structural equation modeling(sem) with partial least squares estimation(pls), a multivariate technique that allowed them to be examined several simultaneous relationships between variables.
was performed as a multivariate technique to compare the chemical composition of the volatile fraction of honeys from different stingless bee species
Correspondence analysis was the statistical test used, a multivariate technique in which similar categories are close to each other
is a multivariate technique that aims to reduce the dimensionality of data through convex combinations of data itself,
The chosen multivariate technique was multiple regression analysis,
each of them responsible for only one type of multivariate technique PCA, FA,
This present work has used the multivariate technique for process optimization through function desirability,
representing a simple multivariate technique of easy application,