Models for target detection times.
dc.contributor.advisor | Jacobs, Patricia A. | |
dc.contributor.author | Bae, Deok Hwan | |
dc.date | September 1989 | |
dc.date.accessioned | 2013-01-23T22:09:42Z | |
dc.date.available | 2013-01-23T22:09:42Z | |
dc.date.issued | 1989 | |
dc.identifier.uri | http://hdl.handle.net/10945/27141 | |
dc.description.abstract | Some battlefield models have a component in them which models the time it takes for an observer to detect a target. Different observers may have different mean detection times due to various factors such as the type of sensor used, environmental conditions, fatigue of the observer, etc. Two parametric models for the distribution of time to target detection are considered which can incorporate these factors. Maximum likelihood estimation procedures for the parameters are described. Results of simulation experiments to study the small sample behavior of the estimators are presented. | en_US |
dc.description.uri | http://archive.org/details/modelsfortargetd1094527141 | |
dc.format.extent | 89 p. | en_US |
dc.language.iso | en_US | |
dc.publisher | Monterey, California. Naval Postgraduate School | en_US |
dc.rights | Copyright is reserved by the copyright owner. | en_US |
dc.title | Models for target detection times. | en_US |
dc.type | Thesis | en_US |
dc.contributor.secondreader | Gaver, D.P. | |
dc.contributor.department | Operations Research | |
dc.subject.author | Weibull Regression | en_US |
dc.subject.author | hierarchical models | en_US |
dc.subject.author | maximum likelihood estimates | en_US |
dc.subject.author | generalized linear models | en_US |
dc.description.service | Major, Korean Air Force | en_US |
etd.thesisdegree.name | M.S. in Operations Research | en_US |
etd.thesisdegree.level | Masters | en_US |
etd.thesisdegree.discipline | Operations Research | en_US |
etd.thesisdegree.grantor | Naval Postgraduate School | en_US |
dc.description.distributionstatement | Approved for public release; distribution is unlimited. |
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