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Direction estimation in the single-index model with missing values
Dong, Yuexiao1; Zhu, Liping2,3
刊名STATISTICS AND ITS INTERFACE
2013
卷号6期号:3页码:379-385
关键词Directional regression Missing at random Missing completely at random Sliced average variance estimation Sliced inverse regression
ISSN号1938-7989
英文摘要We cast direction estimation in the single-index model into the sufficient dimension reduction framework. Existing sufficient dimension reduction literature with missing values mainly focuses on sliced inverse regression and requires the missing at random (MAR) assumption. In this paper, we propose new methods to handle missing data based on sliced average variance estimation and directional regression. By examining different missingness schemes, we demonstrate that inverse probability weighted estimators for missing predictor are not sensitive to the MAR assumption. The fusion-refined procedures for missing response, on the other hand, may be outperformed by complete case analysis if the response is missing completely at random (MCAR).
WOS研究方向Mathematical & Computational Biology ; Mathematics
语种英语
出版者INT PRESS BOSTON, INC
WOS记录号WOS:000325167700009
内容类型期刊论文
源URL[http://10.2.47.112/handle/2XS4QKH4/2043]  
专题上海财经大学
通讯作者Dong, Yuexiao
作者单位1.Temple Univ, Philadelphia, PA 19122 USA;
2.Shanghai Univ Finance & Econ, Sch Stat & Management, Shanghai 200433, Peoples R China;
3.Minist Educ, Key Lab Math Econ, Shanghai 200433, Peoples R China
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GB/T 7714
Dong, Yuexiao,Zhu, Liping. Direction estimation in the single-index model with missing values[J]. STATISTICS AND ITS INTERFACE,2013,6(3):379-385.
APA Dong, Yuexiao,&Zhu, Liping.(2013).Direction estimation in the single-index model with missing values.STATISTICS AND ITS INTERFACE,6(3),379-385.
MLA Dong, Yuexiao,et al."Direction estimation in the single-index model with missing values".STATISTICS AND ITS INTERFACE 6.3(2013):379-385.
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