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dc.contributor.advisorWhitaker, Lyn R.
dc.contributor.authorMonaghan, Emilie M.
dc.dateSep-16
dc.date.accessioned2016-11-02T17:18:45Z
dc.date.available2016-11-02T17:18:45Z
dc.date.issued2016-09
dc.identifier.urihttp://hdl.handle.net/10945/50598
dc.description.abstractThis research develops a statistical model for predicting the number of leads, as an indicator of market depth, that a ZIP code will produce for Navy Recruiting Command (NRC). The U.S. Navy recruits from all over the country, using previous accessions in a recruiting district to assign recruiters and goals. This research develops statistical models to determine the key drivers of the number of leads at the ZIP code level. This research develops a Poisson regression model to predict the number of leads using factors such as IRS-estimated population size and five cluster membership factors constructed from publicly available data sources. We recommend that NRC make use of the Poisson regression model in order to determine high-yield ZIP codes for market depth.en_US
dc.description.urihttp://archive.org/details/estimatingdeptho1094550598
dc.publisherMonterey, California: Naval Postgraduate Schoolen_US
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.en_US
dc.titleEstimating the depth of the Navy recruiting marketen_US
dc.typeThesisen_US
dc.contributor.secondreaderAlt, Jonathan K.
dc.contributor.departmentOperations Research (OR)
dc.subject.authorNavy Recruiting Commanden_US
dc.subject.authorNRCen_US
dc.subject.authorrecruitingen_US
dc.subject.authordata analysisen_US
dc.subject.authorclustersen_US
dc.subject.authorgeneralized linear regressionen_US
dc.subject.authorleadsen_US
dc.subject.authorPoisson regressionen_US
dc.description.serviceCaptain, United States Marine Corpsen_US
etd.thesisdegree.nameMaster of Science 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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