On some statistical problems inherent in radioactivesource detection
Abstract
Statistical detecting randompointprocess signals embedded in randompointprocess noise is considered. An example of such a problem is that of searching for a lost radioactive source with a moving detection system. Several idealized binary decision problems were treated by starting with simple, specific situations and progressing toward more general problems. This sequence of decision problems culminated. In the minimumcostexpection rule for deciding between two Poisson processes with arbitrary intensity functions. As an example, this rule was then specialized to the detectorpassingapointsource decision problem. Finally, Monte Carlo techniques was used to develop and test one estimation procedure: the maximumlikelihood estimation of a parameter in the intensity function of a Poisson process. For the Monte Carlo test this estimation procedure is specialized to the detectorpassingapointsource case.
 Publication:

Unknown
 Pub Date:
 October 1978
 Bibcode:
 1978ossp.book.....B
 Keywords:

 Radiation Detectors;
 Radioactivity;
 Random Noise;
 Signal Detection;
 Statistical Analysis;
 Decision Making;
 Maximum Likelihood Estimates;
 Monte Carlo Method;
 Poisson Density Functions;
 Radiation Sources;
 Atomic and Molecular Physics