Area under CurveDiversity CombiningEnergy DetectorReceiver Operating Characteristic (ROCThis article investigates the energy detectors performance inmyriad fading environments by exploiting a canonical series representation of the generalized Marcum Q-function (along with higher-order derivatives of the moment ...
The area under a receiver operating characteristic curve is a useful index of the accuracy of a diagnostic test. When the diagnostic ability of a new biomarker is of interest only in a certain range of specificity, the partial area under the curve becomes desirable. In this article, we extend...
Φ(a), and you realize that the total area under the standard normal curve is 1 so by numerical conclusion: p(z > a) is 1 Φ(a). p(z > –a) the probability of p(z > –a) is p(a), which is Φ(a). to comprehend this, we have to value the symmetry of the standard ...
I would like to calculate the value of the probability (so the area under the curve) for different sigma. so it means at 65%, 95% and 99% level of significance. What kind of functions can i use? I was thinking to use the cdf function but how? please someone can help me? thank ...
Nanoparticles are characterized by having a high surface area per mass. Particulate surface area has been reported to play an important role in determining the biological activity of nanoparticles. However, recent reports have questioned this relationshi
A Kevlar application developer creates a set of multicast "drivers," each con- sisting of a protocol implemented as an LO, and an associated rule describing the conditions under which that protocol can be used. (The API for these driver rules is that of Quilt [12].) As earlier shown in...
exposure times (Table1). However, when dose of particles was normalized to surface area of particles administered the difference in inflammogenic responses, assessed by PMN number, of the two particle types was much less (Figure3). Indeed, a linear regression curve analysis with a 95% ...
All three of these indicators are positive, i.e., a larger value indicates a better model. The ROC curve is a graphical plot that illustrates the relationship between TPR and FPR at different threshold values. The AUC is the area under the ROC curve and is used to measure the classifiers...
Sea surface salinity (SSS) is one of the most important basic parameters for studying the oceanographic processes and is of great significance in identifying oceanic currents. However, for a long time, the salinity observation in the estuary and coastal
Under the background of limited local routing state information of nodes, the influence of communication delay, communication reliability, and node load is considered jointly, and the routing algorithm in the protocol is designed to improve the networking efficiency. The experimental results show that ...