Joe Hoecherl, M. Robbins, B. Borghetti, R. R. Hill
{"title":"Partially autoregressive machine learning: Development and testing of methods to predict United States Air Force retention","authors":"Joe Hoecherl, M. Robbins, B. Borghetti, R. R. Hill","doi":"10.2139/ssrn.4069621","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":10663,"journal":{"name":"Comput. Ind. Eng.","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Comput. Ind. Eng.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.4069621","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}