Campo DC | Valor | Idioma |
dc.contributor.author | Quintino, Felipe Sousa | - |
dc.contributor.author | Rathie, Pushpa Narayan | - |
dc.contributor.author | Ozelim, Luan Carlos de Sena Monteiro | - |
dc.contributor.author | Fonseca, Tiago Alves da | - |
dc.date.accessioned | 2024-10-20T17:28:26Z | - |
dc.date.available | 2024-10-20T17:28:26Z | - |
dc.date.issued | 2024 | - |
dc.identifier.citation | QUINTINO, Felipe Sousa et al. Estimation of P(X < Y) stress-strength reliability measures for a class of asymmetric distributions: the case of three-parameter p-max stable laws. Simetria, [S. l.], v. 16, n. 7, 837, 2024. DOI: https:/doi.org/10.3390/sym16070837. Disponível em: https://www.mdpi.com/2073-8994/16/7/837. | pt_BR |
dc.identifier.uri | http://repositorio.unb.br/handle/10482/50621 | - |
dc.language.iso | eng | pt_BR |
dc.publisher | MDPI | pt_BR |
dc.rights | Acesso Aberto | pt_BR |
dc.title | Estimation of P(X < Y) stress-strength reliability measures for a class of asymmetric distributions : the case of three-parameter p-max stable laws | pt_BR |
dc.type | Artigo | pt_BR |
dc.subject.keyword | Confiabilidade tensão-resistência | pt_BR |
dc.subject.keyword | Distribuições assimétricas | pt_BR |
dc.subject.keyword | Probabilidades | pt_BR |
dc.rights.license | Copyright: © 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/). | pt_BR |
dc.identifier.doi | https:/doi.org/10.3390/sym16070837 | pt_BR |
dc.description.abstract1 | Asymmetric distributions are frequently seen in real-world datasets due to a number of
factors, such as sample biases and nonlinear interactions between the variables observed. Thus, in
order to better characterize real-world phenomena, studying asymmetric distribution is of great
interest. In this work, we derive stress–strength reliability formulas of the type P(X < Y) when both
X and Y follow p-max stable laws with three parameters, which are inherently asymmetric. The
new relations are given in terms of extreme-value H-functions and have been obtained under fewer
parameter restrictions when compared to similar results in the literature. We estimate the parameters
of the p-max stable laws by a stochastic optimization method and the stress–strength probability by
a maximum likelihood procedure. The performance of the analytical models is evaluated through
simulations and real-life dataset modeling. | pt_BR |
dc.identifier.orcid | https://orcid.org/0000-0003-0286-0541 | pt_BR |
dc.identifier.orcid | https://orcid.org/0000-0002-9790-369X | pt_BR |
dc.identifier.orcid | https://orcid.org/0000-0002-2581-0486 | pt_BR |
dc.identifier.orcid | https://orcid.org/0009-0004-5147-4393 | pt_BR |
dc.contributor.affiliation | University of Brasilia, Department of Statistics | pt_BR |
dc.contributor.affiliation | University of Brasilia, Department of Statistics | pt_BR |
dc.contributor.affiliation | University of Brasilia, Department of Civil and Environmental Engineering | pt_BR |
dc.contributor.affiliation | University of Brasilia, Gama Engineering College | pt_BR |
dc.description.unidade | Instituto de Ciências Exatas (IE) | pt_BR |
dc.description.unidade | Departamento de Estatística (IE EST) | pt_BR |
dc.description.unidade | Faculdade de Tecnologia (FT) | pt_BR |
dc.description.unidade | Departamento de Engenharia Civil e Ambiental (FT ENC) | pt_BR |
dc.description.unidade | Faculdade UnB Gama (FGA) | pt_BR |
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