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Annals of the Institute of Statistical Mathematics
Article . 1984 . Peer-reviewed
License: Springer TDM
Data sources: Crossref
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
zbMATH Open
Article . 1984
Data sources: zbMATH Open
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Strong unimodality and scale mixtures

Authors: Loh, Wei-Yin;

Strong unimodality and scale mixtures

Abstract

It is known that the asymptotically optimal L-estimator has non-negative weights if and only if the underlying density is strongly unimodal. Since the Tukey model is often used to model data containing gross errors, it is of interest to know when such densities are strongly unimodal. This paper examines the question more generally for a large class of scale mixtures. A simple necessary and sufficient condition is given in the case of the Tukey model.

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Keywords

asymptotically optimal L-estimator, strong unimodality, Point estimation, Robustness and adaptive procedures (parametric inference), Tukey model, gross errors, scale mixtures

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Average
Top 10%
Average
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