1 citations · 1 across the 1 of their papers we have counts for
6 papers
Incorporation of frailties into a non-proportional hazard regression model and its diagnostics for reliability modeling of downhole safety valves
Francisco Louzada, José A. Cuminato, Oscar M. H. Rodriguez +13
In this paper, our proposal consists of incorporating frailty into a statistical methodology for modeling time-to-event data, based on non-proportional hazards regression model. Sp…
Multiple repairable systems under dependent competing risks with nonparametric Frailty
Marco Pollo Almeida, Rafael Paixao, Pedro Ramos +3
The aim of this article is to analyze data from multiple repairable systems under the presence of dependent competing risks. In order to model this dependence structure, we adopted…
On a bivariate Birnbaum-Saunders distribution parameterized by its means: features, reliability analysis and application
Helton Saulo, Jeremias Leão, Roberto Vila +2
Birnbaum-Saunders models have been widely used to model positively skewed data. In this paper, we introduce a bivariate Birnbaum-Saunders distribution which has the means as parame…
Objective Bayesian Inference for Repairable System Subject to Competing Risks
Marco Pollo, Vera Tomazella, Gustavo Gilardoni +3
Competing risks models for a repairable system subject to several failure modes are discussed. Under minimal repair, it is assumed that each failure mode has a power law intensity.…
Modeling cure fraction with frailty term in latent risk: a Bayesian approach
Agatha Sacramento Rodrigues, Vinicius Fernando Calsavara, Vera Lúcia Damasceno Tomazella
In this paper, we propose a flexible cure rate model with frailty term in latent risk, which is obtained by incorporating a frailty term in risk function of latent competing causes…
Zero-adjusted Birnbaum-Saunders regression model
Vera Tomazella, Juvêncio S. Nobre, Gustavo H. A. Pereira +1
In this paper we introduce the zero-adjusted Birnbaum-Saunders regression model. This new model generalizes at least seven Birnbaum-Saunders regression models. The idea of this mod…