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dc.contributor.advisorJacobs, Patricia A.
dc.contributor.authorBae, Deok Hwan
dc.dateSeptember 1989
dc.date.accessioned2013-01-23T22:09:42Z
dc.date.available2013-01-23T22:09:42Z
dc.date.issued1989
dc.identifier.urihttp://hdl.handle.net/10945/27141
dc.description.abstractSome 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.urihttp://archive.org/details/modelsfortargetd1094527141
dc.format.extent89 p.en_US
dc.language.isoen_US
dc.publisherMonterey, California. Naval Postgraduate Schoolen_US
dc.rightsCopyright is reserved by the copyright owner.en_US
dc.titleModels for target detection times.en_US
dc.typeThesisen_US
dc.contributor.secondreaderGaver, D.P.
dc.contributor.departmentOperations Research
dc.subject.authorWeibull Regressionen_US
dc.subject.authorhierarchical modelsen_US
dc.subject.authormaximum likelihood estimatesen_US
dc.subject.authorgeneralized linear modelsen_US
dc.description.serviceMajor, Korean Air Forceen_US
etd.thesisdegree.nameM.S. in Operations Researchen_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.disciplineOperations Researchen_US
etd.thesisdegree.grantorNaval Postgraduate Schoolen_US
dc.description.distributionstatementApproved for public release; distribution is unlimited.


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