Extremal Depth for Functional Data and Applications

We propose a new notion called "extremal depth" (ED) for functional data, discuss its properties, and compare its performance with existing concepts. The proposed notion is based on a measure of extreme "outlyingness." ED has several desirable properties that are not shared by ot...

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Veröffentlicht in:	Journal of the American Statistical Association 2016-12, Vol.111 (516), p.1705-1714
Hauptverfasser:	Narisetty, Naveen N., Nair, Vijayan N.
Format:	Artikel
Sprache:	eng
Schlagworte:	Central regions Data depth Functional boxplots Outlier detection Regression analysis Simultaneous inference Statistics Theory and Methods
Online-Zugang:	Volltext
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