Sentence examples for multivariate techniques is from inspiring English sources

In this study an innovative statistical procedure based on multivariate techniques is applied.

One of the fundamental assumptions of most parametric multivariate techniques is multivariate normality, which implies the absence of multivariate outliers.

Even if the best field of research were to include all the three topics, this is not so common; anyway the importance of multivariate techniques is acknowledged with an increasing trend and really many research groups include at least one expert on the subject.

In our results, the best classifiers were formed using genes with limited univariate power, thus illustrating that deeper mining of features using multivariate techniques is important.

A major benefit of multivariate techniques is that they provide an overall picture of complex data sets and can reveal relationships that are difficult to perceive from univariate correlations.

Several multivariate techniques are applied to interpret the grinding processes.

Multivariate techniques were applied to investigate the major land use sources of ion chemistry in the river.

Multivariate techniques were applied to check spatial and seasonal trends, and metals contamination sources of the Himalayan foothills streams, Pakistan.

Recently developed multivariate techniques were used to test for and quantify multivariate variation at different spatial scales.

Simple multivariate techniques were efficiently used to regress spectral features against known values of dispersed solids concentration.

Non-parametric multivariate techniques were used to assess the spatio-temporal variations on daily catch of groups of fishes throughout the study period.