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The cluster analysis is an effective multivariate statistical method that could be used to achieve a greater confidence in the classification obtained with PCA.
This analysis is a multivariate statistical method which is mainly used for analyzing the relation between a set of variables or issues (Reghunath et al. 2002).
Factor analysis is a multivariate statistical method that yields the relationship between measured chemical variables by showing multivariate patterns that may help to classify the original data.
In the present study, a karst collapse susceptibility map was produced using a multivariate statistical method and a Geographical Information System.
This analysis is a multivariate statistical method, aiming to explain the general relationship between measured variables by computing multivariate factors that may help to better classify the original data.
In factor FA, which is a multivariate statistical method, the general relationship between measured variables is highlighted by showing multivariate patterns that may help to classify the original data.
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Multivariate statistical methods were used for data interpretation.
Demographic analysis was done by multivariate statistical methods.
It could be detected by descriptive and multivariate statistical methods.
Using multivariate statistical methods, four types were identified.
Data obtained from the interviews were analyzed using elementary and multivariate statistical methods.
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