Multivariate design and analysis of computer experiments (DACE) methodology can be useful in situations where a dynamical computer model produces time series data sets.
The nominal parameter values specified in the BioNetGen input file of Supplementary Archive File 1 were chosen arbitrarily from among the ensemble of parameter values considered, because with these parameter values, the model produces time courses of phosphorylation for ERK (T185 in ERK2) and Akt (S473 in Akt1) that are deemed to be reasonable.
Our modeling also produced time series carbon pools and fluxes (Figure 6).
Our modeling also produced time series carbon pools and fluxes.
As the simulation model produced stochastic time series and random spatially discrete distributions of individuals we estimated parameters by minimising the expectation of weighted sum of squares.
In addition, the model produced risk time series showing that the Campaspe River has reversed seasonal patterns of river flow due to water releases during summer periods, which altered the flow nature of the river.
The model produced spike times that reproduced the dynamics of SAI responses over a range of stimulus conditions, including different displacement magnitudes and ramp accelerations.
Consequently, the objectives of this study are: To develop the multi-stage LP model that produces time series least cost results for different livestock species, To apply a multi-stage LP method in solving two modeled examples of broiler feed formulation, Present and analyze programming results and extract conclusions from the developed method.
To develop the multi-stage LP model that produces time series least cost results for different livestock species, To apply a multi-stage LP method in solving two modeled examples of broiler feed formulation, Present and analyze programming results and extract conclusions from the developed method.
Instead, this model produced periods of time where individual contractions could readily occur due to the differences in activity in the excitatory motor neurons and inhibitory motor neurons.
The model economy produces time-varying expected eturns, tracked by the dividend price ratio.
