A Model for Aerial Surveillance of Moving Objects When Errors of Observation Are Multi-Variate Normal.
STANFORD UNIV CALIF DEPT OF STATISTICS
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This paper presents a general theorem on the invariant behavior of a certain function of a matrix. It then shows the importance of this result principally by using it to derive properties of certain maximum likelihood estimates which arise when considering problems such as the location of a moving object being surveyed from a moving observatory when all data on location are subject to stochastic error. This problem is important in tracking objects either from an observatory satellite or from a transport plane bearing ground seeking radar. Some applications to this situation are made. Author
- Statistics and Probability