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License: CC BY
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ZENODO
Software . 2022
License: CC BY
Data sources: Datacite
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A test for the hypothesis: block maxima are samples from a parent distribution with Weibull tail

Authors: Marra, Francesco;

A test for the hypothesis: block maxima are samples from a parent distribution with Weibull tail

Abstract

test for the H0 hypothesis: "block maxima are samples from a parent distribution with Weibull tail" language: Matlabdeveloped and tested using: Matlab 2021a, b, 2022a, b contains:- wbl_tail_test_func.m: function with the test- MAIN__wbl_tail_test_func.m: script with an example of usage The test is described in: - Marra F, W Amponsah, SM Papalexiou, 2023. Non-asymptotic Weibull tails explain the statistics of extreme daily precipitation. Adv. Water Resour., 173, 104388, https://doi.org/10.1016/j.advwatres.2023.104388 See also the following, in which the test was first proposed and used: - Marra F, M Borga, E Morin, 2020. A unified framework for extreme sub-daily precipitation frequency analyses based on ordinary events. Geophys. Res. Lett., 47, 18, e2020GL090209. https://doi.org/10.1029/2020GL090209- Amponsah W, E Dallan, EI Nikolopoulos, F Marra, 2022. Climatic and altitudinal controls on rainfall extremes and their temporal changes in data-sparse tropical regions. J. Hydrol., 612, 128090, https://doi.org/10.1016/j.jhydrol.2022.128090- Marra F, V Levizzani, E Cattani, 2022. Changes in extreme daily precipitation over Africa: insights from a non-asymptotic statistical approach. J. Hydrol. X, 16, 100130, https://doi.org/10.1016/j.hydroa.2022.100130

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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).
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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.
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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.
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