Autor: |
Karol I. Santoro, Héctor J. Gómez, Diego I. Gallardo, Inmaculada Barranco-Chamorro, Héctor W. Gómez |
Jazyk: |
angličtina |
Rok vydání: |
2022 |
Předmět: |
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Zdroj: |
Mathematics, Vol 10, Iss 20, p 3740 (2022) |
Druh dokumentu: |
article |
ISSN: |
2227-7390 |
DOI: |
10.3390/math10203740 |
Popis: |
A new class of densities for modelling non-negative data, which is based on the skew-symmetric family of distributions proposed by Azzalini is introduced.We focus on the model generated by the skew-normal distribution, called Extended Half Skew-Normal distribution. Its relevant properties are studied. These are pdf, cdf, moments, mgf, and stochastic representation. The parameters are estimated by moment and maximum likelihood methods. A simulation study to assess the performance of the maximum likelihood estimators in finite samples was carried out. Two real applications are included, in which the EHSN provides a better fit than other proposals in the literature. |
Databáze: |
Directory of Open Access Journals |
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