multivariate

Table 9 provides a multivariate analysis of the same issue.

However, none of those variables were significant on multivariate analysis.

It is also a tool for looking at multivariate data.

We are able to control for changing unemployment in the multivariate work.

Another means by which it may be possible to distinguish between activities with different levels of risk is through multivariate analysis.

The multivariate distribution is used when there are more than two colors.

The wind field is also modified due to the multivariate nature of the 3Dvar analysis.

Seven countries: a multivariate analysis of death and coronary heart disease.

Age was used as a continuous variable in multivariate analysis.

All we shall see below, both messages hold in multivariate analysis.

The issue is particularly relevant in multivariate and regression problems.

Consequently, these disorders were not included in the multivariate model.

Far more complicated were the models based on multivariate statistics.

In particular, let for be a -dimensional multivariate time series.

Future multivariate analyses might be able to shed light on this matter.

A multivariate analysis controlling for these and other factors was performed.

A multivariate statistical approach to data analysis may be used at various scales.

After this step, the data can be analyzed using different multivariate approaches.

The lack of the cutting points concerns other multivariate methods, also.

This fact is applied in the study of the multivariate normal distribution.

Records for 33 women and 50 men were excluded from multivariate analysis because of other missing information.

However, we have only 12 subjects, so in this instance the multivariate test cannot be performed.

Diet composition related to body fat in a multivariate study of 203 men.

This result does not depend on the data having a multivariate normal distribution.