For example, Hu et al. [ 18, 19], basing their studies on an earlier observational study in the Netherlands [ 8, 15], assumed that the probability of acquiring CT is constant for women from early ages and decreases with a constant annual rate after then.
It is assumed that the probability density of every uncertain parameter, input and/or initial state is known a priori.
It is assumed that the probability for the occurrence of each delay is known within a set.
It is assumed that the probability density function of every uncertain parameter, input and/or initial state is known a priori.
It is assumed that the probability of any tolerance value occurring within the tolerance band, compared with any other, is equal, and thus the technique is aimed at designing for the worst-case scenario.
The simulations assumed that the probability of immigration was a linear function of mainland abundance and distance to islands, similar to the equilibrium theory of island biogeography and the unified neutral theory of biodiversity.
It is assumed that the probability of any tolerance value occurring within the tolerance band, compared with any other, is equal, and thus it is a worst-case scenario approach.
All those literatures assumed that the probability density function or covariance of noise is known.
It is assumed that the probability p01 of the primary network apparition is small compared to the probability p00.
To simplify the calculation, it is assumed that the probability of virus spreading from one to another is 1.
They assumed that the probability measure used to evaluate the constraints is known only through its moments.
