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Equation (1) may model nonlinear pulse propagation in monomode optical fibers.
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In view of the fact that the lifting technique may fail to model the nonlinear system, the resultant filtering error systems are modeled as continuous-time nonlinear systems with several sawtooth delays.
However, ensemble-based prediction methods may not offer improvements over logistic regression models that incorporated flexible functions to model nonlinear relationships between continuous covariates and the log-odds of the outcome.
Accounting for such sequence effects would render the model nonlinear.
The proposed method is designed primarily to capture strong nonlinear behavior and may be applied to model reduction, nonlinear characterization and control design.
Indeed, the most appropriate analysis of continuous prognostic markers may require nonlinear modelling techniques, as highlighted by Sauerbrei et al (1999); consultancy with statisticians or others experienced with such techniques is recommended in this situation.
To model the nonlinear behaviour of the cochlea, we need to define nonlinear functions to describe the system.
In consequence, fast complex diffusion is reached in a nonlinear laminar flow, which may be modeled by Couette equation.
It is noteworthy that while we assumed linear progression of cognitive impairment in clinical trials, future studies involving longer durations may require models of nonlinear profiles of progression of cognitive impairment.
The relationship between normal and shear stress may be nonlinear, though a linear model may be a good first approximation.
First, besides parametric models, we also consider semiparametric models, with which we may discover the nonlinear relationships between covariates and CAC development.
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