A bivariate fatigue-life regression model and its application to fracture of metallic tools

Helton Saulo, Jeremias Leão, VICTOR ELISEO LEIVA SANCHEZ, Roberto Vila, Vera Tomazella

Resultado de la investigación: Contribución a una revistaArtículorevisión exhaustiva

Resumen

The Birnbaum-Saunders distribution has been widely used to model reliability and fatigue data. In this paper, we propose a regression of generalized linear models type based on a new bivariate Birnbaum-Saunders distribution. This is parameterized in terms of its means and allows data to be described in their original scale. We estimate the model parameters and carry out inference with the maximum likelihood method. A case study with realworld reliability data is conducted for motivating our investigation, illustrating the potential applications of the proposed results. We obtain a predictive model which can be a useful addition to the tool-kit of diverse practitioners, reliability engineers, applied statisticians, and data scientists.

Idioma originalInglés
Páginas (desde-hasta)119-137
Número de páginas19
PublicaciónBrazilian Journal of Probability and Statistics
Volumen35
N.º1
DOI
EstadoPublicada - 2021
Publicado de forma externa

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