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Archivio Istituzionale Università di Bergamo
Conference object . 2016
Full-Text: https://aisberg.unibg.it/bitstream/10446/51931/7/Bianchi_Cagliari.pdf
Data sources: Archivio Istituzionale Università di Bergamo
Claim

M-quantile regression: diagnostics and parametric representation of the model

descriptionPublicationkeyboard_double_arrow_right Conference object 01 Jan 2016 Italy English Publisher:CUEC Editrice by Sardinia Novamedia
Authors: BIANCHI, Annamaria; Fabrizi, Enrico; Salvati, Nicola; Tzavidis, Nikos;

handle: 10446/51931

M-quantile regression: diagnostics and parametric representation of the model

Abstract

M-quantile regression generalizes both quantile and expectile regression using M-estimation ideas. This paper covers several topics related to estimation, model assessment and hypothesis testing that were so far neglected in the many articles about M-quantile regression methods that appeared in recent years.

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Italy
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Keywords

M-quantile regression; small area estimation; cluster test; likelihood ration-type test

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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!
0
Average
Average
Average
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