{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,3]],"date-time":"2026-10-03T13:05:27Z","timestamp":1791032727807,"version":"4.1.0"},"reference-count":0,"publisher":"Oxford University Press (OUP)","issue":"3","license":[{"start":{"date-parts":[[1998,9,1]],"date-time":"1998-09-01T00:00:00Z","timestamp":904608000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[1998,9,1]]},"abstract":"<jats:title>Summary<\/jats:title>\n                  <jats:p>To measure the distance between a robust function evaluated under the true regression model and under a fitted model, we propose generalized Kullback\u2013Leibler information. Using this generalization we have developed three robust model selection criteria, AICR*, AICCR* and AICCR, that allow the selection of candidate models that not only fit the majority of the data but also take into account non-normally distributed errors. The AICR* and AICCR criteria can unify most existing Akaike information criteria; three examples of such unification are given. Simulation studies are presented to illustrate the relative performance of each criterion.<\/jats:p>","DOI":"10.1111\/1467-9868.00139","type":"journal-article","created":{"date-parts":[[2003,3,12]],"date-time":"2003-03-12T14:34:43Z","timestamp":1047479683000},"page":"551-558","source":"Crossref","is-referenced-by-count":35,"title":["A Note On the Unification of the Akaike Information Criterion"],"prefix":"10.1093","volume":"60","author":[{"given":"P.","family":"Shi","sequence":"first","affiliation":[{"name":"Peking University , Beijing , People's Republic of China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"C-L.","family":"Tsai","sequence":"additional","affiliation":[{"name":"University of California , Davis , USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2002,1,6]]},"container-title":["Journal of the Royal Statistical Society Series B: Statistical Methodology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.wiley.com\/onlinelibrary\/tdm\/v1\/articles\/10.1111%2F1467-9868.00139","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/academic.oup.com\/jrsssb\/article-pdf\/60\/3\/551\/49589006\/jrsssb_60_3_551.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/academic.oup.com\/jrsssb\/article-pdf\/60\/3\/551\/49589006\/jrsssb_60_3_551.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,3,22]],"date-time":"2023-03-22T01:20:14Z","timestamp":1679448014000},"score":1,"resource":{"primary":{"URL":"https:\/\/academic.oup.com\/jrsssb\/article\/60\/3\/551\/7083087"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[1998,9,1]]},"references-count":0,"journal-issue":{"issue":"3","published-online":{"date-parts":[[2002,1,6]]},"published-print":{"date-parts":[[1998,9,1]]}},"URL":"https:\/\/doi.org\/10.1111\/1467-9868.00139","relation":{},"ISSN":["1369-7412","1467-9868"],"issn-type":[{"value":"1369-7412","type":"print"},{"value":"1467-9868","type":"electronic"}],"subject":[],"published-other":{"date-parts":[[1998,9]]},"published":{"date-parts":[[1998,9,1]]}}}