Sentence examples for multivariate approaches were from inspiring English sources

In addition, analytical figures of merit using multivariate approaches were calculated for both methods.

Both uni- and multivariate approaches were effective in the discrimination of the best polycultures.

However, in photochemistry, by comparison, applications of such multivariate approaches were found to be less frequent although a variety of methods have been used, especially with spectroscopic photochemical applications.

To evaluate representativeness, univariate and multivariate approaches were employed to analyze the epidemiological variables.

In exploring the association between these variables and the incidence of childhood diseases, both bivariate and multivariate approaches were pursued.

Furthermore, multivariate approaches were used to analyse relative changes in CHC composition (Bray-Curtis similarities), and the presence or absence of compounds (simple matching).

On the other hand, chemometrices, as a group of multivariate approaches, is more powerful than the univariate approach.

The correlation between the loadings from the independent HC and soil based models for 7C highlights that multivariate approaches are better at finding small concerted changes among a large number of variables than corresponding univariate approaches.

However, due to small sample size limitations, multivariate approaches are often not appropriate for discovering the underlying complex, multivariate correlations.

Most implementations of two-step genomic selection methods are currently based on single-trait analyses but multivariate approaches are emerging.

Such multivariate approaches are now commonly used to understand how populations might respond to selection e.g. [ 7- 17, 17- 22].