Title :
Performance of Likelihood Ratio Processors
Author_Institution :
Marine Plhysical Laboratory, Scripps Institution of Oceanography, San Diego, CA 92152
fDate :
7/1/1979 12:00:00 AM
Abstract :
Summarized by its ROC curve, the performance of a Bayes optimal detector is a function of two joint a priori probability density functions on the uncertain parameters involved. An investigation is made to determine at what point in the generation of an ROC curve for a given pair of priors sufficient information is retained for the calculation of a new ROC based on a different pair of priors.
Keywords :
Detectors; Equations; Probability density function; Random variables; Shape; Statistics; Uncertainty;
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
DOI :
10.1109/TAES.1979.308744
