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

Authors

Joseph C. Hoecherl, Air Force Institute of Technology
Matthew J. Robbins, Air Force Institute of TechnologyFollow
Brett J. Borghetti, Air Force Institute of TechnologyFollow
Raymond R. Hill, Air Force Institute of Technology

Document Type

Article

Publication Date

9-2022

Comments

The full text of this article is available via subscription or purchase at Elsevier's ScienceDirect portal, through the DOI link below.

DOI

10.1016/j.cie.2022.108424

Source Publication

Computers & Industrial Engineering (ISSN 0360-8352 | eISSN 1879-0550)

Recommended Citation

Hoecherl, J. C., Robbins, M. J., Borghetti, B. J., & Hill, R. R. (2022). Partially autoregressive machine learning: Development and testing of methods to predict United States Air Force retention. Computers & Industrial Engineering, 171, Art. 108424. https://doi.org/10.1016/j.cie.2022.108424