Modelling spatial dependence rigourously will provide single extreme value models applicable to spatial neighbourhoods including complete ocean basins, avoiding the need for procedures such as site pooling.
However, predictions by deterministic models provide only single values without uncertainty attached.
These matches Q matrix models provide, besides the single Q matrix models, the basis for identifying the best proxy for apprentices' real cognitive processes while solving the tasks.
Well-calibrated models provided a single optimal location, whereas, if models were not calibrated well, the Bayesian estimates of the new observation location depended on the activation sequence assumed for existing locations.
The results show that the LSTAR based and neural network augmented models provide important gains over the single-regime baseline GARCH models, followed by the LSTAR-LST-GARCH type models in terms of modeling and forecasting volatility in crude oil prices.
Typical single-disease models provide estimates of future conditions and guidance for direct intervention efforts relating only to the modeled primary disease.
While the multiphase fluid flow models provide more accurate fluid pressure response, single-phase fluid flow models can be used to obtain approximate solutions.
Moreover, we believe that the averaged equations derived here for single-compartment neuron models provide a solid foundation for further studies of HFS effects in large-scale neural networks, since the high-frequency terms are eliminated.
Compartmental models provide a major source of insight into the information processing functions of single neurons.
Models provide analysts with opportunities to formalize their reasoning and ideas in a single consistent framework.
These results are in good agreement with values obtained using the power-law model, providing a single mathematical model that is shown to apply in both the anodic and cathodic domains for the characterization of an oxide layer.
