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(2) In the implementation, we estimated p 0 with r, the observed ratio of genes without Alus, and approximated the model as (3) The model parameters θ (shape) and κ (scale) were estimated using maximum likelihood method (ML) implemented in the R package MASS [ 53].
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The use of an estimator, which approximates the model behaviour by estimating the states, is, however, very convenient for nonlinear control purposes.
A preliminary step then consists in approximating the model dynamics as a difference equation system, e.g. by standard numerical integration methods as Euler or Runge-Kutta discretizations.
However, when we varied the initial condition, only the ER model accurately approximated the full deterministic model (Fig. 5 b).
For t < 30 min, the 2D model approximates the 3D model accurately enough.
Maze [6] modeled the gap acceptance behavior using a logit model which closely approximates the probit model.
This is because the model with high k-base values well approximates the qualitative model.
The exocyst density is assumed to remain constant and is approximated in the model by a Gaussian distribution (equation 1).
This approximates the "subscription model" that major labels have said they intend to create.
From the two genomic selection approaches tested, RR-BLUP approximates the infinitesimal model using the same shrinkage factor for all markers [ 32].
The LVD model performs a little better and approximates the BN and HG models at higher Z-score cut-offs.
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