完整後設資料紀錄
DC 欄位語言
dc.contributor.author許碩修en_US
dc.contributor.authorXu, Shuo-Xiuen_US
dc.contributor.author李昭勝en_US
dc.contributor.author洪慧念en_US
dc.contributor.authorLi, Zhao-Shengen_US
dc.contributor.authorHong, Hui-Nianen_US
dc.date.accessioned2014-12-12T02:19:45Z-
dc.date.available2014-12-12T02:19:45Z-
dc.date.issued1997en_US
dc.identifier.urihttp://140.113.39.130/cdrfb3/record/nctu/#NT864337001en_US
dc.identifier.urihttp://hdl.handle.net/11536/63620-
dc.description.abstractIn this paper, we improve the Akaike's information criterionby considering the asymptotic bias of the maximum likelihood with the rateof convergence o(1/n). In particular, we apply the proposed finitecorrection of Akaike's information criterion to factor analysis models.zh_TW
dc.language.isozh_TWen_US
dc.subjectAkaike資訊準則zh_TW
dc.subject修正Akaike資訊準則zh_TW
dc.subject最大概似函數zh_TW
dc.subject因子分析模型zh_TW
dc.subject統計zh_TW
dc.subjectAkaike Information Criterionen_US
dc.subjectCorrected Akaike Information Criterionen_US
dc.subjectMaximum likelihooden_US
dc.subjectAkaike's information criterionen_US
dc.subjectFactor analysis modelsen_US
dc.subjectSTATISTICSen_US
dc.title有關Akaike資訊準則及其在因子分析模型的應用zh_TW
dc.titleOn Akaike's Information Criterion with Special Reference to Factor Analysis Modelsen_US
dc.typeThesisen_US
dc.contributor.department統計學研究所zh_TW
顯示於類別:畢業論文