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Modelled parameters are in theory more 'physiologically meaningful' than simple descriptors, such as IAUC, and are independent of acquisition protocol and solely reflect tissue characteristics.
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In addition, many model parameters are in fact not elementary biochemical parameters but subsume several processes which are not modelled in detail.
Additionally, the model parameters were chosen by minimizing squared differences of modelled with observed national mortality rates, and thus maximizing representativeness of the available data.
Model parameters were as reported in Brette and Gerstner (2005) and synapses were modelled as input currents.
Initial estimates of the model parameters were then subsequently adjusted with the Solver function in Excel to minimise the differences between the modelled (predicted) and observed data.
Further modelled (unobserved) parameters are also shown in the model – in particular, c i and d i which are estimates of bias and discriminability, and the top level of the hierarchy which formally incorporates group-wise mean and standard deviation estimates of both c i and d i.
In the specific example presented here, the modelled order parameters were higher than the experimental values, which may be attributable principally to limitations of the force field used in the MD simulations of the host.
On this basis, the material parameters are modelled stochastically.
On the other hand, when practical systems are modelled, uncertainties of system parameters are often included.
The uncertain structural parameters are modelled as homogeneous Gaussian stochastic field and discretized by the local averaging method.
Due to the diverse variations and intricate nature of creep and shrinkage observed in engineering practices, it is advisable that the two mercurial parameters are modelled as uncertain-but-bounded variables.
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