ITM Web Conf.
Volume 23, 2018XLVIII Seminar of Applied Mathematics
|Number of page(s)||5|
|Published online||07 November 2018|
On using nonparametric approaches for precipitation estimation
Wrocław University of Environmental and Life Sciences, Department of Mathematics, Grunwaldzka 53, 50357 Wrocław, Poland
* Corresponding author: firstname.lastname@example.org
Nonparametric density estimation methods have been used for precipitation estimation for decades. The new approach for estimating the density proposed recently by Geenens and Wang appears to offer advantages over them as far as their behavior in the tail is concerned. Real data analyses presented in this paper confirm the usefulness of this new approach for precipitation modelling.
© The Authors, published by EDP Sciences, 2018
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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