Sentence examples for multivariate systems with from inspiring English sources

However, the power of the Johansen test in multivariate systems with small sample size can be severely distorted.

This contrast reflects in part methodological limitations of assessing complex, multivariate systems with a limited set of apical end points.

We used a measure of information transmission between multivariate systems with correlated collective fluctuations known as the total intercorrelation, which was developed as part of the N-body Information Theory (NbIT) framework we have described previously (see refs (78 and 79) for details).

The adaptive immunity classifier is not a single complex multivariate system with parameters adjusted in course of learning.

This strategy expands the applications of food proteins and allows the following facilities: assess interactions between variables of multivariate systems, evaluate the dependence between functional parameters, and optimize the additive production with tailor-made functional properties for different food systems.

While Shantz and Teske use the same multivariate system as FPPR method [7,20], in this work we re-write the system with both symmetric and non-symmetric variables.

In this paper, the distance correlation, which can measure the dependence between random vectors, is utilized for multivariate GSA for structural systems with multivariate output.

The Yetis et al.[2] related the feasibility of the IA conditions in fully connected interference channel to the problem of determining the solvability of a multivariate polynomial system, with arbitrary antenna configurations.

For any set S, we use the symbol # S to mean the order of S. We denote the degree of regularity as D reg, which is the maximum degree appearing when solving the multivariate polynomial system with Gröbner basis routine.

Control system design process based on pole placement frequently requires to solve underdetermined multivariate polynomial systems.

In order to evaluate the effectiveness of IISCBR, this paper compares the predictive power of the system with that of multivariate discriminant analysis (MDA).