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Dependence in target element detections induced by the environment
Author(s) -
Youngren Mark A.
Publication year - 1991
Publication title -
naval research logistics (nrl)
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.665
H-Index - 68
eISSN - 1520-6750
pISSN - 0894-069X
DOI - 10.1002/1520-6750(199108)38:4<567::aid-nav3220380409>3.0.co;2-0
Subject(s) - element (criminal law) , computer science , representation (politics) , multivariate statistics , process (computing) , variable (mathematics) , field (mathematics) , random field , artificial intelligence , algorithm , statistics , mathematics , machine learning , mathematical analysis , politics , political science , pure mathematics , law , operating system
When modeling the detection of targets in a simulation of combat, the detection process is frequently represented as a series of independent detections of individual elements of the target. This assumption ignores the effect of a common but unknown field environment within which the detections take place. In this article, multivariate survival distributions are developed for target element detections which occur in an unknown dynamic environment. A proportional hazards representation is adopted, which uses a random variable multiplying the detection rate to account for the effect of the environment. Several special cases are examined which are useful for modeling target unit detections.