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dc.contributor.advisorButtrey, Samuel E.
dc.contributor.authorSparling, Steven J.
dc.date.accessioned2012-03-14T17:33:32Z
dc.date.available2012-03-14T17:33:32Z
dc.date.issued2005-06
dc.identifier.urihttp://hdl.handle.net/10945/1912
dc.description.abstractAccurate prediction of officer loss behavior is essential for the planning of personnel policies and executing the U.S. Army's Officer Personnel Management System (OPMS). Inaccurate predictions of officer strength affect the number of personnel authorizations, the Army's budget, and the necessary number of accessions. Imbalances of officer strength in the basic branches affect the Army's combat readiness as a whole. Captains and majors comprise a critical management population in the United States Army's officer corps. This thesis analyzes U.S. Army officer loss rates for captains and majors and evaluates the fit of several time series models. The results from this thesis validate the time series forecasting technique currently used by the Army G-1, Winters-method additive.en_US
dc.description.urihttp://archive.org/details/atimeseriesnalys109451912
dc.format.extentxiv, 83 p. : col. ill. ;en_US
dc.publisherMonterey, California. Naval Postgraduate Schoolen_US
dc.rightsApproved for public release, distribution unlimiteden_US
dc.subject.lcshTime-series analysisen_US
dc.titleA time series analysis of U.S. Army officer loss ratesen_US
dc.title.alternativeA time series analysis of United States Army officer loss ratesen_US
dc.typeThesisen_US
dc.contributor.secondreaderHoffmann, Arthur J.
dc.contributor.corporateNaval Postgraduate School (U.S.).
dc.contributor.departmentOperations Research
dc.identifier.oclc62502818
etd.thesisdegree.nameM.S.en_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.disciplineOperations Researchen_US
etd.thesisdegree.grantorNaval Postgraduate Schoolen_US
etd.verifiednoen_US


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