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Revealedpreference and stated preference based models are the two most commonly usedapproaches.
The major advantage of building physics based models are the modular structure of their algorithms.
Of particular relevance to postdocs is the fact that economically based models are the only ones that take into account the harm done by low postdoc wages to recruitment efforts for the next generation of scientists.
In many high and middle income countries, insurance based models are the main instruments used to ensure financial protection for the entire population, achieved through financial reforms in revenue collection, pooling and purchasing [4].
Building physics based models are the only methods that can fully estimate energy consumption of a sector without historical energy consumption information and evaluate the impact of new technologies (Swan and Ugursal 2009).
Although conceptual and physically based models are the main tool for depicting hydrological variables and understanding the physical processes taking place in a system, they do have practical limitations.
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The Markov process based model is the most commonly used mathematical model which can be solved analytically [1, 2].
Therefore, we conclude that Poisson-statistics based models are actually based on the biological behaviors of bacterial cells rather than human cancerous cells.
Importantly, these clustering based models are not suitable to model the expression of each individual gene.
The advantage of the AHP model over the GRA based models is that the AHP model can be suitable to accommodate the qualitative criteria also.
General limitation with the physics based models is that the models do not account for the effects at the physical boundaries of the device.
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