A model to forecast civilian personnel inventory for the national security agency

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The purpose of this thesis is to develop a model to forecast civilian personnel inventory for the National Security Agency (NSA). Accurate prediction of personnel inventories will help the NSA with issues ranging from hiring, promotion, and ethnic/gender diversity to the development of cost-effective force reduction programs. The model must be capable of producing multiple-year forecasts of the NSA's civilian force structure with a minimum fidelity level that allows for break-out by years-of service, career field, and grade. Historical data will be utilized to estimate logistic regression parameters that will compose the internal workings of the model. The JMP statistical software package will be used for data analysis, while the model will be developed as a Microsoft Excel application.

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Oorspronkelijke releasedatum: 09 oktober 2012

Aantal pagina's: 100

Hoofdauteur: Stephen G Hoffman

Tweede Auteur: Stephen G Hoffman

Co Auteur: Stephen G. Hoffman

Hoofduitgeverij: Biblioscholar

Product breedte: 189 mm

Product hoogte: 5 mm

Product lengte: 246 mm

Verpakking breedte: 189 mm

Verpakking hoogte: 5 mm

Verpakking lengte: 246 mm

Verpakkingsgewicht: 195 g

EAN: 9781249593812

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