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dc.contributor.advisorButtrey, Samuel E.
dc.contributor.authorMoore, Patricia B.
dc.date.accessioned2013-05-06T18:44:34Z
dc.date.available2013-05-06T18:44:34Z
dc.date.issued1998-09
dc.identifier.urihttp://hdl.handle.net/10945/32762
dc.description.abstractAs the U.S. military reduces its forces, the ability to maintain an acceptable level of readiness is of concern to the U.S. Navy. Both personnel and equipment readiness and the ability to predict them have been the focus of much attention. Fully Mission Capable (FMC) rates measure the percentage of time that aircraft are fully able to meet mission requirements. FMC rates have been determined to be the best single measure of equipment condition, providing an indication of aircraft readiness. This thesis evaluates the capabilities of logistic regression and regression trees in predicting aircraft readiness for a specific carrier deployment or aircraft type/model/series (TMS). The data are taken from observations of squadrons by aircraft TMS by month from 1981 through 1997. Empirical results indicate that logistic regression and regression trees provide forecasting results with standard errors of prediction better than taking the mean and standard deviation of the historical data.en_US
dc.description.urihttp://archive.org/details/analysisofpredic1094532762
dc.format.extentxiv, 51 p.;28 cm.en_US
dc.language.isoen_US
dc.publisherMonterey, California. Naval Postgraduate Schoolen_US
dc.titleAnalysis of predictive factors for fully mission capable rates of deployed aircraften_US
dc.title.alternativeNAen_US
dc.typeThesisen_US
dc.contributor.secondreaderNA
dc.contributor.corporateNaval Postgraduate School (U.S.)
dc.contributor.departmentOperations Research
dc.subject.authorNAen_US
dc.description.recognitionNAen_US
dc.description.serviceU.S. Navy (U.S.N.) author.en_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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