Sentence examples for multivariate approaches are from inspiring English sources

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.

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

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

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

Multivariate approaches are presented to identify temporal patterns in coexpressed gene groups and quantify coupled relationship of two distinct trajectories.

In particular, CDC42 and CORO1A appear to be associated with both age at draw and survival after blood draw, whether univariate or multivariate approaches are applied.

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.

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

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.