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In alpha-factor model, two parameters Q T and α k are predefined.
For the fractal geometric model, two parameters(D and G) are introduced to describe roughness characteristics.
In this work we apply quantitative structure activity relationships (QSARs) to model two parameters, the discontinuity point m* and the β-value, that describe the complete precipitation curve of a protein under defined conditions.
In addition to regression parameter in this model, two parameters of the random effects were estimated.
In the general model, two parameters, C and S, of the inverse S-function are adjustable and can be tuned for different transcription factors in a specific cell.
As in a regular threshold model, two parameters have to be set fixed (e.g. threshold and the residual variance are set to zero and one, respectively) since these parameters are not identifiable in a liability model.
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During the fitting process using the 3C2i model, six parameters were identified.
For instance, in the case of porous material with rigid frame, and according to the Champoux Allard model, five parameters are employed.
After approximating this function by a second-order model, three parameters of this reduced structure captured the essential features of the original process.
In the "symmetrical rates" model three parameters were estimated, which represent the symmetrical transition rates between all three states non-migratory, short-distance migration, and long-distance migration.
We set M equal to 50 for the standard model (one parameter) and 100 for the alternative models (two parameters).
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