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Being the performance model a Stochastic Well-formed Net, the method is enabled to analyze systems where the object identities are relevant as well as those where they are not.
The partially stirred plug flow reactor (PaSPFR) model, a stochastic reactor model (SRM), has been used to model turbulent mixing between the boundary layer, crevices, and the turbulent core and to account for the chemical reactions within the combustion chamber.
Based on this method, a three-dimensional electric-thermal-flow-coupled model, a stochastic degradation model of cells under field dynamic conditions and a multi-state system reliability model of a battery pack are established.
While large body of work on the impact crater statistics according to MST has already been done, it is yet to be investigated as to how we can model a stochastic process according to MTSP; for example, bombardment of the planetary surface or something else in a Lunar and Planetary Science (LPS) domain.
In contract to our deterministic model, a stochastic MC model based on the classical reaction diffusion master equation is proposed in [35] based on the ligand-receptor mechanism.
Due to the uncertainty in the description of the occurring diagenesis phases and their effects in the facies deposition model, a stochastic framework may be preferred.
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State space model is a stochastic model which consists of two sub-models: The stochastic system model which is the stochastic model of the system and the observation model which is a statistical model based on available observed data from the system.
We propose two correlated link weight models, namely a deterministic correlated model and a stochastic correlated model.
Our purpose was based on analyzing this behavior using both a deterministic model and a stochastic model.
The resulting model can be decomposed into an input-output model and a stochastic innovations model.
Naraghi, M. E. & Javadpour, F. A Stochastic Permeability Model for the Shale-Gas Systems.
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Justyna Jupowicz-Kozak
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