有關Akaike資訊準則及其在因子分析模型的應用

完整後設資料紀錄

DC 欄位	值	語言
dc.contributor.author	許碩修	en_US
dc.contributor.author	Hsu, Shou-Hsiu	en_US
dc.contributor.author	李昭勝, 洪慧念	en_US
dc.contributor.author	Jack C. Lee, Hui-Nien Hung	en_US
dc.date.accessioned	2014-12-12T02:18:33Z	-
dc.date.available	2014-12-12T02:18:33Z	-
dc.date.issued	1997	en_US
dc.identifier.uri	http://140.113.39.130/cdrfb3/record/nctu/#NT860338008	en_US
dc.identifier.uri	http://hdl.handle.net/11536/62703	-
dc.description.abstract	在這篇論文裡, 我們透過最大概似函數的漸近誤差, 改進Akaike資訊準則, 其收斂速度為o(1/n)。最重要地, 我們應用所提出之Akaike資訊準則的有限修正到因子分析模型。 In 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.iso	zh_TW	en_US
dc.subject	Akaike資訊準則	zh_TW
dc.subject	修正Akaike資訊準則	zh_TW
dc.subject	Akaike Information Criterion	en_US
dc.subject	Corrected Akaike Information Criterion	en_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.title	On Akaike's Information Criterion with Special Reference to Factor Analysis Models	en_US
dc.type	Thesis	en_US
dc.contributor.department	統計學研究所	zh_TW
顯示於類別：	畢業論文