NDLI: A robust estimator of multivariate location based on projection

Content Provider	Springer Nature Link
Author	Zhongzhan, Zhang Guoying, Li
Copyright Year	1999
Abstract	This paper presents an estimator of location vector based on one-dimensional projection of high dimensional data. The properties of the new estimator including consistency, asymptotic normality and robustness are discussed. It is proved that the estimator is not only strongly consistent and asymptotically normal but also with a breakdown point 1/2 and a bounded influence function.
Starting Page	158
Ending Page	168
Page Count	11
File Format	PDF
ISSN	10051031
Journal	Applied Mathematics-A Journal of Chinese Universities
Volume Number	14
Issue Number	2
e-ISSN	19930445
Language	English
Publisher	Editorial Committee of Applied Mathematics
Publisher Date	1999-01-01
Publisher Place	Hangzhou
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Asymptotic normality consistency linear projection robustness Point estimation Robustness and adaptive procedures Mathematics Applications of Mathematics
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics

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A robust estimator of multivariate location based on projection