Please use this identifier to cite or link to this item: https://dair.nps.edu/handle/123456789/4532
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dc.contributor.authorCharles Pickar, Raymond Franck-
dc.date.accessioned2022-01-31T17:03:19Z-
dc.date.available2022-01-31T17:03:19Z-
dc.date.issued2021-12-29-
dc.identifier.citationPublished--Unlimited Distributionen_US
dc.identifier.urihttps://dair.nps.edu/handle/123456789/4532-
dc.descriptionAcquisition Management / Faculty Reporten_US
dc.description.abstractThis continuing project aims to examine weapons systems development schedules to identify ways to predict the duration of the defense acquisition schedule more accurately. This study aims to provide a more complete understanding of the myriad factors that drive the weapon system development timelines. In particular, we propose to investigate insights from contemporary data science methods to identify variables critical to predicting acquisition schedules through Schedule Estimating Relationships.en_US
dc.description.sponsorshipAcquisition Research Programen_US
dc.language.isoen_USen_US
dc.publisherAcquisition Research Programen_US
dc.relation.ispartofseriesAcquisition Management;NPS-AM-22-013-
dc.subjectData Scienceen_US
dc.subjectAcquisition Schedulesen_US
dc.titleTelling Time: Getting Relevant Data for Acquisition Schedule Estimating Relationshipsen_US
dc.typeTechnical Reporten_US
Appears in Collections:Sponsored Acquisition Research & Technical Reports

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