當自變數出現缺失值時對相關二元因變數作LOGISTIC迴歸

完整後設資料紀錄

DC 欄位	值	語言
dc.contributor.author	彭淑珍	en_US
dc.contributor.author	Peng, Shu-Zhen	en_US
dc.contributor.author	周幼珍	en_US
dc.contributor.author	Zhou, You-Zhen	en_US
dc.date.accessioned	2014-12-12T02:14:27Z	-
dc.date.available	2014-12-12T02:14:27Z	-
dc.date.issued	1994	en_US
dc.identifier.uri	http://140.113.39.130/cdrfb3/record/nctu/#NT834337004	en_US
dc.identifier.uri	http://hdl.handle.net/11536/59891	-
dc.description.abstract	D要在提出一以概似法為基礎的方法論，以探討相關二元資料在Logistic A應如何處理缺失自變數值的問題。在針對自變數所作常態假設下，可得到一些逼 C在文中也回顧許多的文獻並提出一些未來可能研究方向以供參考。 A lokelihood-based methodology was proposed for analysing ted binary data with incomplete continuous covariates by logistic ion. Under the normality assumption about covariates, the asymptotic ies can be done. Some literature was reviewed and some future research ons were discussed.	zh_TW
dc.language.iso	en_US	en_US
dc.subject	當自變數	zh_TW
dc.subject	缺失值	zh_TW
dc.subject	二元因變數	zh_TW
dc.subject	統計	zh_TW
dc.subject	STATISTICS	en_US
dc.title	當自變數出現缺失值時對相關二元因變數作LOGISTIC迴歸	zh_TW
dc.title	LOGISTIC REGRESSION WITH MISSING COVARIATE FOR CORRELATED BINARY RESPONSE	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