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Application to the multivariable case is presented.
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An analytic expression of a lower bound of this deviation guaranteeing stability in the monovariable and multivariable case are obtained.
Indeed, the only modification, in this case, is to consider that we search for the maxima of multivariable function.
More specifically, the suggested frequency-domain stability conditions are conformable both in scalar and multivariable cases, and can be implemented either graphically with locus plotting or numerically without; in particular, the latter is suitable as a design tool with auxiliary parameter freedom.
In bivariate and multivariable analysis, 260 cases were excluded because of lack of information about the number of visits and/or the trimester when prenatal care was started.
This paper proposes a super-twisting sliding mode observer structure for the multivariable case when many interdependent measurements are available.
A generic design methodology is proposed in the multivariable case.
For the multivariable case, first the decoupling of the fast transients is proposed, basing on a conversion of the matrix transfer function (MTF) description of the plant.
Subgroup univariable and multivariable survival analyses on ER-positive cases were conducted similarly.
The association between risk factors and the risk of death among hospitalized cases was assessed using multivariable logistic regression to estimate the odds ratios associated with each risk factor, adjusted for age and sex.
In this paper we extend the results to the multivariable case of higher multiplicity.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com