Show simple item record

dc.contributor.advisorWhitaker, Lyn R.
dc.contributor.advisorAlt, Jonathan
dc.contributor.authorMoffitt, James D.
dc.date16-Jun
dc.date.accessioned2016-08-02T19:33:43Z
dc.date.available2016-08-02T19:33:43Z
dc.date.issued2016-06
dc.identifier.urihttp://hdl.handle.net/10945/49350
dc.description.abstractThis thesis develops a data-driven statistical model capable of identifying regional factors that affect the number of United States Army Recruiting Command (USAREC) accessions in Potential Rating Index Zip Code Market New Evolution (PRIZM NE) market segments. This model will aid USAREC G2 analysts involved in conducting recruiting market intelligence. Market intelligence helps the commander visualize the performance of subordinate units within their market and provides recommendations for use and expansion. This thesis first attempts to establish that a single high-assessing PRIZM NE market segment, Segment 32, does not access recruits at the same rate across regions. This thesis then develops general linear regression and gradient boosted decision tree models to determine the regional factors that contribute to the variance of recruit production. In particular, the gradient boosted decision tree delivers predictive results that allow analysts to identify regions that have underperforming accession rates compared to the national average. The recommendation of this thesis is that the USAREC implement the gradient boosted decision trees for use in G2 market analysis.en_US
dc.description.urihttp://archive.org/details/analysisofregion1094549350
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.titleAnalysis of regional effects on market segment productionen_US
dc.typeThesisen_US
dc.contributor.secondreaderHouse, Jeffrey B.
dc.contributor.departmentOperations Research (OR)
dc.subject.authorrecruitingen_US
dc.subject.authormarket segmentationen_US
dc.subject.authorPRIZM NEen_US
dc.subject.authorPoisson regressionen_US
dc.subject.authorgradient boosted decision treeen_US
dc.description.serviceCaptain, United States Armyen_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.


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record