The purpose of this paper is to study a kind of system of multivariate variational inequalities and to prove the existence theorem of solutions.
The approach is relevant to all cases when uncertainty can be described by any kind of joint correlated multivariate distribution function.
Amplification of MYCN was confirmed to be a strong predictor of adverse outcome, but other single genomic alterations, such as loss of 11q or gain of 17q, were overridden by the presence of any kind of segmental alterations in multivariate analyses.
As a kind of dimension reduction technology in multivariate analysis, factor analysis can effectively reduce numerous data into few variables, the so-called factors.
PCA is a kind of a clustering statistical method which reduces the dimensionality of multivariate data to express the original variables as a particular linear combination of the principal components (PCs) in the score plots.
In multivariate analyses, any kind of anti-dementia drug use appeared to be independently associated with the subgroup of mood symptoms and apathy, and the use of a combination therapy was associated with hyperactivity but not with psychotic symptoms (Table 5).
Therefore, to convert multivariate data to a network, it is necessary to use a metric or some kind of measure that can assess distance or similarity between two multivariate entities.
Compared to classical methods, such as principal component analysis (PCA), SCA is more efficient for multivariate description and spatial filtering of this kind of images.
This kind of scaled PCA may be used for creating a sensitive multivariate control chart.
