Your English writing platform
Discover LudwigSuggestions(1)
Exact(19)
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.
In [8], it is shown that the probability of decision error can be expressed as follows: (7).
Therefore, the probability of decision error in a scenario with noisy communication links, given a clustering configuration (i.e., ), becomes (13).
The average probability of decision error, with respect to the clustering configuration, can then be computed as follows: (14).
Performance indicators at both physical (probability of decision error) and network (network transmission rate, throughput, aggregate throughput, delay, and network lifetime) layers are considered.
Similar(41)
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.
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).
Next, under the constraints of a minimum probability of correct decision and a maximum probability of incorrect decision of the proposed identification rule, the optimal test plan is derived by using the criterion of minimizing the total cost of experiment.
Expected value of perfect information (EVPI) combines both the probability of wrong decision and the consequences of that wrong decision ('opportunity costs') in terms of NMB forgone.
Thus, per patient EVPI was estimated [ 14, 25], which combines both the probability of wrong decision and the consequences of that wrong decision as NMB forgone.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com