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The compartmental models were parameterized as clearance and volume terms using a parameterization that is stable for different types of estimation methods.
These three models were parameterized in a similar way, comprising: 1.
The trainable trajectory formation model PHMM, the shape and appearance models were parameterized using OC data.
Therefore the 3d EEM QSPR WO models were parameterized using 67 molecules, and their validation was also done on the data set excluding outliers.
Both pairwise and bond order conservation models were parameterized from this database and used internally in the MC simulation to describe adsorbate lateral interactions.
Demographic models were parameterized using 5 years of field data, from which the relationship between life-history traits and rainfall and temperature was estimated.
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All models are parameterized with straightforward engineering data.
The power models are parameterized in terms of complexity parameters and a PFA proportional constant.
The base quality estimate models are parameterized using the inter-loss gap and burst loss sizes.
The models are parameterized from borehole, gamma, flow and video logs resulting in a two order of magnitude lower effective porosity for the preferential flow model.
The cohesive behavior determined from molecular models is parameterized in equations that can be integrated with an atomistically informed multiscale modeling framework.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com