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Multivariate statistical technique and hydrogeochemical approach were employed for groundwater assessment within the Lower Pra Basin.
A common multivariate statistical technique used to determine optimal conditions is response surface methodology (RSM) [18].
The principal component analysis (PCA) multivariate statistical technique was used in our research.
Cluster analysis is a multivariate statistical technique which was originally developed for biological classification.
CA is a multivariate statistical technique to visualize graphically the association between CVs in a contingency table.
Wong (1979) utilized a multivariate statistical technique component analysis in analyzing the effects of twelve basins and climatological parameters.
Palm kernel oil esters nanoemulsion-loaded with chloramphenicol was optimized using response surface methodology (RS M, a multivariate statistical technique.
The theoretical principles of RSM and steps for its application are described to introduce readers to this multivariate statistical technique.
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Both univariate descriptive statistics and multivariate statistical techniques were employed for the analysis of data.
Four multivariate statistical techniques were used for this analysis.
Error assessment: sampling, spatial autocorrelation, error matrix, locational accuracy, discrete multivariate statistical techniques and reporting standards.
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