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Selecting “the best” nonstationary Generalized Extreme Value (GEV) distribution: on the influence of different numbers of GEV-models

Overview of attention for article published in Bragantia, December 2019
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1 policy source

Citations

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22 Mendeley
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Title
Selecting “the best” nonstationary Generalized Extreme Value (GEV) distribution: on the influence of different numbers of GEV-models
Published in
Bragantia, December 2019
DOI 10.1590/1678-4499.20180408
Authors

Ana Carolina Freitas Xavier, Gabriel Constantino Blain, Marcos Vinicius Bueno de Morais, Graciela da Rocha Sobierajski

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 27%
Researcher 5 23%
Student > Master 2 9%
Student > Bachelor 2 9%
Unspecified 1 5%
Other 2 9%
Unknown 4 18%
Readers by discipline Count As %
Earth and Planetary Sciences 4 18%
Engineering 4 18%
Environmental Science 2 9%
Unspecified 1 5%
Computer Science 1 5%
Other 3 14%
Unknown 7 32%