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Four input parameters are considered for the selection of the spectrum-sensing method: (1) required probability of detection, (2) operational signal-to-noise ratio (SNR), (3) available time for performing the detection, and (4) a priori information.
They have defined the 'decision threshold' as a minimum required probability of the disease for allowing initiation of treatment.
This paper addresses the common engineering practice of specifying a required probability of attaining some performance level.
We demonstrate the trade-off between robustness to uncertainty, and an increase in the required probability of detection.
The decision threshold is determined by using the required probability of false alarm PFA given by (3.2).
The results of this algorithm have shown that a compromise has to be made between the FWT complexity and the required probability of detection and false alarm.
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The program requires three parameters: the desired accuracy r, the required probability s of attaining the specified accuracy and a less relevant tolerance parameter ε.
Whereas the Bayesian theory requires probabilities for each question of interest, belief functions allow us to base belief degrees for one question on probabilities to a related question.
This kit significantly reduces the cost, time required, and probability of error.
Suppose we say that knowledge requires a probability of 1 – that is, knowledge requires our justification or reasons to guarantee the truth of the belief.
For example, an uncertain categorical soil map requires the probability of each soil type occurring at any location to be defined (local uncertainty), as well as the spatial dependencies between these probabilities at multiple locations (spatial uncertainty).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com