In our model, an analogous result holds for multiple parameter sets but one particular choice of parameters that results in N3 = N is p3 = 3c3, p4 = 4c4, p5 = 5c5.
We argue that our model constitutes a theoretical improvement over existing models, with advantages that include data-informed parameter choices, vaccination of multiple epidemiological classes, a reasonable vaccine stockpile, limits on the number of vaccines administered per day, and ways to estimate wasted resources.
There are some other choices for c, such as -3/2 (referred to as the multiple parameter Jeffreys' rule) [ 8].
Compared with the existing well-regarded alignment-based motif similarity comparison methods (e.g. the methods in STAMP), our method do not require an alignment between the two compared motifs, thus it is free from the influence of the largely arbitrary choice of the multiple parameters used in an alignment method.
These more complex spline models have disadvantages for risk assessment in that their shape is dependent on multiple knot choices, their parameters are not easily interpretable, and they are not linear in the low-dose region.
The situation of multiple choices for a parameter exists in many managerial decision-making problems.
It takes advantage of multiprocessor architectures, first to pre-compute the closure equations linking local flow velocity to local pressure gradient, prior to running the displacement simulation, and second, to solve the non-linear pressure equation by sampling multiple choices of relaxation parameters.
Multi-choice programming is a mathematical programming problem, in which DM is allowed to set multiple number of choices for a parameter.
The multiple design choices are shown in Table 1.
In fact, one prediction of the LCA model regarding the effect of multiple choices is that the threshold parameter increases with the number of alternatives.
