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Exact(4)
A particular feature of our experimental design is that it takes into account the possible role of decision errors for generating violations of transitivity.
Fig. 5 The probabilities of decision errors as a function of user-defined MSPE (σMSPE 0) under the different cut-off elevations, 10°, 20° and 30° from (a) to (c).
Figure 5 shows the probabilities of decision errors with respect to the results in Fig. 4. The result of triple-frequency is smaller than, or at least comparable with, that of dual-frequency.
In the absence of decision errors, i.e. the unperturbed model, the system has absorbing states in which sooner or later it will be trapped (if we run the model for long enough).
Similar(56)
The possibility of decision error has inversely proportional to the normalized difference between the perceived sounds.
It would be interesting to preliminary evaluate a lower bound on the average probability of decision error, as the limiting average probability of decision error in an ideal scenario with no observation and communication noises, that is, for and.
The optimal threshold, T, must be selected in such a way that the minimum probability of decision error is reached.
The average probability of decision error, with respect to the clustering configuration, can then be computed as follows: (14).
In [8], it is shown that the probability of decision error can be expressed as follows: (7).
The proposed framework allows the derivation of the probability of decision error at the AP, when accounting for packets' losses due to possible collisions.
At this point, the probability of decision error depends on a realization of the random vector which, in turn, depends on and.
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