{"title":"Multi-source statistics on employment status in Italy, a machine learning approach","authors":"R. Varriale, M. Alfò","doi":"10.1007/s40300-023-00242-7","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":51716,"journal":{"name":"Metron-International Journal of Statistics","volume":null,"pages":null},"PeriodicalIF":0.7000,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Metron-International Journal of Statistics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s40300-023-00242-7","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"STATISTICS & PROBABILITY","Score":null,"Total":0}
期刊介绍:
METRON welcomes original articles on statistical methodology, statistical applications, or discussions of results achieved by statistical methods in different branches of science.