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Testing linearity against threshold effects: uniform inference in quantile regression

Overview of attention for article published in Annals of the Institute of Statistical Mathematics, July 2013
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1 X user

Citations

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7 Mendeley
Title
Testing linearity against threshold effects: uniform inference in quantile regression
Published in
Annals of the Institute of Statistical Mathematics, July 2013
DOI 10.1007/s10463-013-0418-9
Authors

Antonio F. Galvao, Kengo Kato, Gabriel Montes-Rojas, Jose Olmo

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 29%
Researcher 1 14%
Unknown 4 57%
Readers by discipline Count As %
Economics, Econometrics and Finance 2 29%
Agricultural and Biological Sciences 1 14%
Mathematics 1 14%
Unknown 3 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 August 2015.
All research outputs
#20,326,948
of 22,870,727 outputs
Outputs from Annals of the Institute of Statistical Mathematics
#100
of 110 outputs
Outputs of similar age
#174,538
of 198,562 outputs
Outputs of similar age from Annals of the Institute of Statistical Mathematics
#3
of 3 outputs
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So far Altmetric has tracked 110 research outputs from this source. They receive a mean Attention Score of 3.2. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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