Gumbel distribution with heavy tails and applications to environmental data

Yolanda M. Gómez, Heleno Bolfarine and Héctor W. Gómez

Mathematics and Computers in Simulation (MATCOM), 2019, vol. 157, issue C, 115-129

Abstract: In this paper, we introduce a new extension to the extreme value type-1 (Gumbel) distribution, by constructing a slash type distribution. The result is a distribution with greater kurtosis than the Gumbel distribution. Properties of the distribution such as moments, moment generating function and kurtosis and asymmetry coefficients for the distribution are studied. Maximum likelihood estimation and moments estimators are applied and a simulation study is presented to illustrate parameter recovery. Results of applications to two real data sets, one from a wind velocity study and the other from snow accumulation indicate that the new model seems to perform better in the presence of atypical observations.

Keywords: Gumbel distribution; Kurtosis; Maximum likelihood; Wind velocity; Snow accumulation (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (8)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:157:y:2019:i:c:p:115-129

DOI: 10.1016/j.matcom.2018.10.003

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