Sentence examples for multivariate systems when from inspiring English sources

In multivariate systems, when it comes to identifying actual operating conditions ranges, or optimal settings, the use of constrained optimization is often required.

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

The execution and appraisal process involves modelling and analysis of complex, multivariate systems.

A basic class of multivariate system identification input design methods is proposed.

Such estimates are mostly useful for analyzing impacts in a multivariate system as clearly demonstrated by [19] and [20].

Due to the fact that several of these factors most likely are intercorrelated it is important to understand how they relate to WSP in a more comprehensive (multivariate) context when planning for instance prevention, health care and social security systems.

In this paper we present a general framework for the multivariate problem when data are collected from a combined array.

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

Table 1 Comparison of different multivariate polynomial systems by experimental results   s m +1 s m +1 ′ s m +1 ′ with specific V #var m n ′ m n ′+m n (mn' + (n'-1 frac {m(m+1)}{2}+m) #poly n'-1 fracn + (n'-1)frac {m(m+1)}{2}+m) D reg when m=3 ≤7 ≤4 ≤4.

Continuous time Bayesian network classifiers are designed for analyzing multivariate streaming data when time duration of event matters.

We also derive a lasso-type estimate for recovering interaction functions of multivariate Hawkes processes when observing n trials.