For example, in the Ar(1) plus noise model the null parameter configuration will be at the boundary of the admissible parameter space if and only if the non-signal component is identically 0 (see Harvey 1989; Fiorentini and Planas 2001 for other examples of admissibility restrictions on the model parameters).
Some restrictions of the model used are also discussed.
Furthermore, we address important implementation details, complexity issues and restrictions of the model.
In this section, we briefly describe the equations and restrictions of the simulation model.
The TVM+Γ+I model (a restriction of the GTR model in which the two transition rates are equal) was used to calculate ML distances and branch lengths using PAUP* [ 29] and TREE-PUZZLE [ 25].
The restriction of this model is that it considers only saturated traffic (i.e., all the flows always have packets to send), and that it does not take into account the capture effect (i.e., all the data transmissions will fail in the presence of packet collisions without the consideration of their relative signal strength).
We apply this convention to functions α 1, a1, a2, 1, a1, a2) and β(b0, b1, i) in Equation 3. The application of these restrictions to the model space results in a connected subspace of 27 models, and we apply a uniform prior so that the prior probability on each model is 1/27, while the remaining 37 models have a prior probability of 0.0.
On the one hand, this view simplifies many analyses and synthesis procedures, but on the other hand, it imposes restrictions on the modeling and optimization of systems.
The main restriction of the sheep model is the much larger translatory capacity compared with patients, which adversely influences tissue healing.
The restriction of the dispersion model to the estimation of concentrations at a distance of no more than 60 m from a road (Eerens et al. 1993) may explain the differences between the dispersion and the city-specific LUR model.
