Sentence examples for major multivariate from inspiring English sources

This paper presents a comprehensive review of major multivariate drought indices developed recently.

Multilinear regression is one of the major multivariate analyses approaches, and has been applied to MLAS [12], [13].

In empirical studies in management and social sciences, SEM is a major multivariate data analysis method along with multiple regression analysis method.

The goal of the major multivariate analyses was to examine relationships between potential facilitators/barriers and self-reported contacts for MH problems, after taking into account the contributions of socio-demographic characteristics and predicted service needs based on recent health status indicators (e.g., symptoms/distress, adverse experiences).

A comparison of the biology majors to the engineering majors (i.e., students majoring in biomedical or chemical engineering) on all six questions demonstrated that the overall differences between the two groups were highly significant (N = 17 biology majors, N = 14 engineering majors; multivariate analysis of variance, p < 0.003).

A major challenge of multivariate analysis is overfitting, i.e., the model fits the data so well that it cannot generalize to new data.

The major advantage of multivariate methods is that the information content is not reduced to a single numerical score, which is more prone to levelling out adverse effects of single taxonomic groups.

It remains to be established whether there remains significant additive genetic variation along the major axes of multivariate selection.

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.

A major advantage of multivariate methods relative to univariate ones is that a single model is used to analyze all variables, and thus, the problems associated with multiple hypothesis testing are absent.

The systolic and diastolic blood pressure, serum creatinine, eGFR, haemoglobin and needle guide remained as significant predictors of major complications on multivariate analysis, while platelet count and INR lost the significance.