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Consistent nonparametric tests for detecting gradual changes in the marginals and the copula of multivariate time series

Overview of attention for article published in Statistical Papers, November 2016
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Title
Consistent nonparametric tests for detecting gradual changes in the marginals and the copula of multivariate time series
Published in
Statistical Papers, November 2016
DOI 10.1007/s00362-016-0846-8
Authors

Jean-François Quessy

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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 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 50%
Student > Postgraduate 1 50%
Readers by discipline Count As %
Mathematics 2 100%
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 16 May 2019.
All research outputs
#18,681,024
of 23,146,350 outputs
Outputs from Statistical Papers
#76
of 124 outputs
Outputs of similar age
#233,305
of 307,344 outputs
Outputs of similar age from Statistical Papers
#2
of 3 outputs
Altmetric has tracked 23,146,350 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 124 research outputs from this source. They receive a mean Attention Score of 1.9. This one is in the 11th percentile – i.e., 11% of its peers scored the same or lower than it.
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