Sentence examples for principal analysis as from inspiring English sources

The aim of the sensitivity analysis was to validate and reinforce the principal analysis as described above.

In the former case, all observed variables/ items from all the constructs in the study were included into an exploratory factor analysis (using unrotated principal component analysis as well as principal component analysis with varimax rotation) to determine whether the majority of the variance in the variables could be accounted for by one general factor.

These inferential estimators were constructed based on the application of both multiple linear and principal component analysis as well as non-linear regression.

A correlation between the metabolic profiling and fumaric acid production was revealed by principal component analysis as well as partial least squares.

A case study of villin headpiece folding using principal components analysis as well as clustering demonstrates the potential of these tools in responding to this challenge.

We assessed the effects on model transferability and fit by reducing multicollinearity using Spearman's rank correlations, variance inflation factors, and principal component analysis, as well as altering the regularization coefficient within MaxEnt.

With genotyped data of the markers, we constructed phylogenies of these populations with both DA and DC measures and performed a principal component analysis, as well as a clustering analysis by structure.

A single variable SES was later calculated using principal component analysis as described elsewhere [ 14].

We have observed a distinct genetic profile for these individuals, different from other more widely studied African populations, supported by principal component analysis as well as ADMIXTURE.

The off-line sorting allowed for supervised spike sorting on the basis of a principal components analysis, as well as on other spike waveform features.

A deeper analysis of the four datasets unmasked differences in their covariance structures This was based on a principal component analysis, as well on comparisons of their inner dissimilarity representations, as provided by a cluster analysis.