An accurate quantitative reconstruction method is a prerequisite for model-based kinetic analysis.
A knowledge of these parameters is a prerequisite for modelling of the reactive catalyst.
Modelling unknown non-linear dynamic processes is an essential prerequisite for model-based state estimation and fusion.
Global identifiability is a fundamental prerequisite for model identification which is important not only for biological or medical systems but also for many physical and engineering systems derived from first principles.
The knowledge of the internal wave propagation and local photon absorption rate is a fundamental prerequisite for modeling Cu(In,Ga)(Se,S 2 thin film solar cells by means of a sophisticated Technology Computer Aided Design (TCAD) device simulator.
(1) Model precision is a necessary prerequisite for model accuracy.
On the other hand, our additional simulations with two more complex models revealed that a prerequisite for model selection based on predictive power has to be mentioned.
As the unique identification of components in metabolic models is a prerequisite for model comparability and scientific collaborations [ 45], special emphasis has been laid on annotating components with external references using the MIRIAM notation.
Data plots (residuals vs. fitted values, Q-Q plot, scale location plot, Cook's Distance plot) do not indicate a violation of the prerequisites for regression models (especially linearity and homoscedasticity).
This is an interesting idea, albeit one of the prerequisites for this model is polymorphism itself, both in terms of number of alleles and gene diversity under which the recessive mutations are maintained as a 'sheltered load' [ 71].
The new challenges for modeling crop weed interactions and prerequisites for crop weed competition models that follow from these developments are discussed.
