(3.50) By the same methods as in Example 3.3, we know that p is a u-distance on X and T is not Kannan-type single-valued p-contractive and T has no fixed point in X.
Because of the relatively small number of observations (10 years of monthly data), we do not use the kurtosis or quantile estimation methods in this example.
Comparison with morphological images have previously been used to evaluate the performance of automatic segmentation methods in for example FDG and 124I PET images [45].
However, we demonstrate in Figure S6 that MOSAIC outperforms metaPhOrs according to the metrics presented in Figure 3, despite integrating nearly half the number of OD methods in this example.
Once again, formal methods, in this case example, were considered to be too bureaucratic, time consuming, and not applicable given the device and development scenario.
For the second example, the parameters α and β are chosen by the same method as in Example 3.1.
Using (V_F) as a 7-block of 7 binary pixels, we can apply the method mentioned in Example 1 to embed any 3-bit string (d = d_3d_2d_1) in (V_F) by changing at most one place, say (p_k) in (V_F).
Gibiansky et al. compared the performance of NONMEM estimation methods in simulated examples of a target-mediated drug disposition model using either default options or by designing the options to get the best possible results for each algorithm ("expert" options).
We illustrate the properties of both methods in two examples, including the problem of optimal geometry for argon cluster.
