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Partially autoregressive machine learning: Development and testing of methods to predict United States Air Force retention.

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Title: Partially autoregressive machine learning: Development and testing of methods to predict United States Air Force retention.
Authors: Hoecherl, Joseph C.1, joseph.hoecherl@afit.edu, Robbins, Matthew J.1, Borghetti, Brett J.1, Hill, Raymond R.1
Source: Computers & Industrial Engineering; Sep2022, Vol. 171, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 158672980
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1016/j.cie.2022.108424
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      – Code: eng
        Text: English
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      – TitleFull: Partially autoregressive machine learning: Development and testing of methods to predict United States Air Force retention.
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              Text: Sep2022
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              Y: 2022
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              Value: 171
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