Trimmed mean是否可以經由Winsorized mean改善它的有效性

完整後設資料紀錄

DC 欄位	值	語言
dc.contributor.author	王則堯	en_US
dc.contributor.author	陳鄰安	en_US
dc.date.accessioned	2014-12-12T02:22:46Z	-
dc.date.available	2014-12-12T02:22:46Z	-
dc.date.issued	1999	en_US
dc.identifier.uri	http://140.113.39.130/cdrfb3/record/nctu/#NT880337015	en_US
dc.identifier.uri	http://hdl.handle.net/11536/65382	-
dc.description.abstract	在線性回歸模式中,我們發展出三套Winsorized Means的理論: (1).Koenker and Bassett(1978) regression quantiles (2).Chen and Chiang(1996) symmetric quantile (3).Welsh(1987) residual quantile 在計算有效性的過程中,我們發現下面一些事實: (1).Winsorized Means不能改善Koenker and Bassett's and Welsh's Trimmed Means 的有效性. (2).Winsorized Means不但可以改善symmetric Trimmed Means, 而且它會更接近Cramer-Rao lower bound.	zh_TW
dc.language.iso	zh_TW	en_US
dc.subject	Winsorized mean	zh_TW
dc.subject	Trimmed mean	zh_TW
dc.subject	Regression quantile	zh_TW
dc.subject	Residual quantile	zh_TW
dc.subject	Symmetric quantile	zh_TW
dc.title	Trimmed mean是否可以經由Winsorized mean改善它的有效性	zh_TW
dc.title	Can the Asymptotic Efficiences of the Trimmed Means be Improved by Winsorized Means	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