Sentence examples for multivariate data but from inspiring English sources

The above is a standard analysis and plotting approach for multivariate data, but since this analysis has been driven by the principals of GM that maintain the relationships in physical space amongst the variables, these results can be used to construct hypothetical configurations of landmarks representing arbitrary points in the space of principal components.

Data was initially analyzed as multivariate data with MANOVA but due to a lack of correlation between response variables (data not shown), data were further analyzed with ANOVA (PROC GLM) using SAS 9.2 (SAS/STAT).

Moreover, multivariate data analysis showed that N-RAS but not B-RAF mutation status was an independent prognostic factor.

It is not only a correction procedure, but a more general approach for multivariate data analysis.

Uncertainty estimation is an important part of any measurement but is often neglected for complex valued or multivariate data (e.g., vectors).

Cluster analysis identifies discrete groups within multivariate data and is an effective method of coping with these complexities, but often suffers from subjective identification of groups.

Uni- and multivariate data analyses were applied.

PCA projects multivariate data onto a lower dimension orthogonal space.

MCDCOV computes the MCD estimator of a multivariate data set.

This chapter provides models for repeated measures and multivariate data.

Both, spectra and electropherograms can be used as multivariate data.