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CPS2165 Carla Susete Gonçalves Francisco et al.
Figure 14: pdf: Cauchy
Distribution with
parameters: 5 / 6, 5 / 3 1 −
0. 5

Figure 15: DDM diffusion
trajectories Consider a
Brownian motion with a
drift and infinitesimal
variance: We have
generated 250 trajectories
for an It ˆ o process:
() = +
12. 02 ()

Figure 16: Later-d
Trajectories Consider a
model with = 1 and
= 0. 38 . We have
generated 250 trajectories
for an Brownian motion
process: () = +
0. 38 2 ()

Figure 17: This research w
LATER model Consider a
LATER model (with = 1
and = 0.38) with
normally distributed: We
have generated 250
trajectories with between
0 and 2000.

3. Results
Data analysis was performed by distribution analysis methods and by
using a data analysis in different categories whenever the data sample is
large enough. The analysis techniques used where: multi- variance data
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