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政大機構典藏 > 商學院 > 統計學系 > 期刊論文 > Item 140.119/71196

Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/71196

Title:	Robust Regression Diagnostics With Data Transformations
Authors:	鄭宗記 Cheng,Tsung-Chi
Contributors:	統計系
Date:	2005.06
Issue Date:	2014-11-06 18:22:58 (UTC+8)
Abstract:	The problems of non-normality or functional relationships between variables may often be simplified by an appropriate transformation. However, the evidence for transformations may sometimes depend crucially on one or a few observations. Therefore, the purpose of the paper is to develop a method that will not be influenced by potential outliers during the process of data transformations. The concepts of the least trimmed squares estimator and the trimmed likelihood estimator are used to obtain the robust transformation parameters. Furthermore, the proposed procedure unifies robust statistics and a diagnostic approach to deal with the outlier problem in the regression transformation.
Relation:	Computational Statistics and Data Analysis49(6),875-891
Data Type:	article
DOI 連結:	http://dx.doi.org/10.1016/j.csda.2004.06.010
DOI:	10.1016/j.csda.2004.06.010
Appears in Collections:	[統計學系] 期刊論文

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