Sentence examples for models of multivariate from inspiring English sources

The models of multivariate analysis were tested for their appropriateness before deciding to interpret the results.

Starting from this stylized facts, several authors build models of multivariate unobserved components in order to obtain in a joint manner the cycles and trends of different series.

We present two models of multivariate analysis.

A total of 7 models of multivariate linear regression analysis have been created.

All statistically significant factors (P<0.05) or clinically relevant factors with a P<0.2 determined by univariate analysis were included in models of multivariate logistic regression analysis.

We compared the -2log likelihood (which was the parameter in the Cox regression) of two different models of multivariate analysis: the smaller the value, the better the model [ 23].

In the scope of the scenario a theoretical model of multivariate oligomeric autocatalyst is presented.

In this paper, we introduce the concepts of asymmetric copulas for the modeling of multivariate ocean data.

Extensions to joint modelling of multivariate extremes, incorporating extremal spatial dependence (using max-stable processes) or more general extremal dependence (using the conditional extremes approach) are outlined.

Effective modelling of multivariate extremes will improve the specification of design conditions for systems whose response cannot be easily characterised in terms of one variable.

This is a very important aspect for effective modeling of multivariate models, especially when part of the goal is to study the evolution of the internal states of the particles (i.e., composition, phase behavior, etc.).