Preservation of the log concavity by Bernstein operator with an application to ageing properties of a coherent system
Badía, F.G. (Universidad de Zaragoza) ; Cha, J.H. ; Lee, H. ; Sangüesa, C. (Universidad de Zaragoza)
Resumen: In this paper, we provide a new proof of the preservation of the log concavity by Bernstein operator. It is based on the bivariate characterization of the likelihood ratio order. In addition, we give new conditions under which the previous property leads to preservation of ageing properties in coherent systems with independent and identically distributed components.
Idioma: Inglés
DOI: 10.1016/j.cam.2023.115748
Año: 2024
Publicado en: Journal of Computational and Applied Mathematics 443 (2024), 115748[7 pp.]
ISSN: 0377-0427
Factor impacto JCR: 2.6 (2024)
Categ. JCR: MATHEMATICS, APPLIED rank: 35 / 343 = 0.102 (2024) - Q1 - T1
Factor impacto SCIMAGO: 0.688 - Computational Mathematics (Q2) - Applied Mathematics (Q2)
Tipo y forma: Article (PostPrint)
Área (Departamento): Área Estadís. Investig. Opera. (Dpto. Métodos Estadísticos)
You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. You may not use the material for commercial purposes. If you remix, transform, or build upon the material, you may not distribute the modified material.
Exportado de SIDERAL (2025-09-22-14:33:38)
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Idioma: Inglés
DOI: 10.1016/j.cam.2023.115748
Año: 2024
Publicado en: Journal of Computational and Applied Mathematics 443 (2024), 115748[7 pp.]
ISSN: 0377-0427
Factor impacto JCR: 2.6 (2024)
Categ. JCR: MATHEMATICS, APPLIED rank: 35 / 343 = 0.102 (2024) - Q1 - T1
Factor impacto SCIMAGO: 0.688 - Computational Mathematics (Q2) - Applied Mathematics (Q2)
Tipo y forma: Article (PostPrint)
Área (Departamento): Área Estadís. Investig. Opera. (Dpto. Métodos Estadísticos)
You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. You may not use the material for commercial purposes. If you remix, transform, or build upon the material, you may not distribute the modified material. Exportado de SIDERAL (2025-09-22-14:33:38)
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Articles > Artículos por área > Estadística e Investigación Operativa
Record created 2024-03-01, last modified 2025-09-24