Model-free data screening and cleaning

被引：0
|
作者：
Tarter, Michael E. [1 ]
机构：
[1] Univ Calif Berkeley, Sch Publ Hlth, Berkeley, CA 94720 USA
来源：
WILEY INTERDISCIPLINARY REVIEWS-COMPUTATIONAL STATISTICS | 2011年 / 3卷 / 02期
关键词：
box plot; cancer; censoring; contour; truncation;
D O I：
10.1002/wics.140
中图分类号：
O21 [概率论与数理统计]; C8 [统计学];
学科分类号：
020208 ; 070103 ; 0714 ;
摘要：
Categories of data screening and cleaning issues are reviewed and discussed. Bivariate model-free approaches, specialized model-free regression techniques, together with order statistic-based (OSB) approaches are illustrated and shown to be of particular value for a variety of data screening and cleaning applications. It is shown how a combination of curve estimation with OSB approaches can help screen a progression to AIDS data set. (C) 2011 JohnWiley & Sons, Inc.
引用
收藏
页码：168 / 176
页数：9
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