In this section, we derive the theoretical upper bound on the bit error probability of rate-1/2 TBCC for QPSK modulation over AWGN channel.
We consider the category of each rating 'R' as a fuzzy set, i.e. a membership function µR defined on the space of sizes, and we identify membership functions with conditional probabilities, i.e., µR (s) is p(R|s), the conditional probability of rating 'R' given the stimulus size 's's
The predicted probability of rating care as 'Excellent' declines from 0.41 to 0.33, a decline of 19%.
OCCs are graphical representations of the probability of rating the different options for a given item across the range of severity.
For these items, the probability of rating a particular option (level of severity) corresponded to a relatively well defined and narrow range of severity.
If the probability of rating an option changes as a function of psychopathological severity, the option is useful; that is, it discriminates differences in illness severity.
In both cases, positive values of ∆BMIt and ∆STt would be associated with an increased probability of rating the right hand target as the more attractive.
The largest part of this is accounted for by an increase in the predicted probability of rating care as less than 'Very good' from 0.22 to 0.28, an increase of 27%.
