This paper discusses a new approach for system reliability parameter. Actually, we provide expectation Bayesian (E-Bayesian) estimation of system reliability for Series and parallel systems based on Pascal distribution. The definition and properties of E-Bayesian estimation are given. Also we applied three different distributions for the parameters in prior distribution to investigate the influence of the different prior distributions on the E-Bayesian estimation. The confidence intervals of R, based on E-Bayesian and bootstrap methods, are developed. The performance of these confidence intervals is studied through extensive simulation. Two numerical practical examples, is presented to illustrate the implementation of the proposed procedure...
An imprecise Bayesian nonparametric approach to system reliability with multiple types of components...
An imprecise Bayesian nonparametric approach to system reliability with multiple types of components...
Master's thesis in Risk managementNowadays, increasingly complex systems are critical due to the sec...
CAPES - COORDENAÇÃO DE APERFEIÇOAMENTO DE PESSOAL E NÍVEL SUPERIORThe main purpose of this article i...
In this paper, the failure rate function and the shape parameter for the kumaraswamy distribution an...
In this paper, the failure rate function and the shape parameter for the kumaraswamy distribution an...
Nowadays, increasingly complex systems are critical due to the sectors and enterprises which they su...
For a system with n s-independent components, the uncertainty regarding the reliability of component...
For a system with n s-independent components, the uncertainty regarding the reliability of component...
In reliability engineering, data about failure events is often scarce. To arrive at meaningful estim...
In reliability engineering, data about failure events is often scarce. To arrive at meaningful estim...
In reliability engineering, data about failure events is often scarce. To arrive at meaningful estim...
In reliability engineering, data about failure events is often scarce. To arrive at meaningful estim...
In reliability engineering, data about failure events is often scarce. To arrive at meaningful estim...
An imprecise Bayesian nonparametric approach to system reliability with multiple types of components...
An imprecise Bayesian nonparametric approach to system reliability with multiple types of components...
An imprecise Bayesian nonparametric approach to system reliability with multiple types of components...
Master's thesis in Risk managementNowadays, increasingly complex systems are critical due to the sec...
CAPES - COORDENAÇÃO DE APERFEIÇOAMENTO DE PESSOAL E NÍVEL SUPERIORThe main purpose of this article i...
In this paper, the failure rate function and the shape parameter for the kumaraswamy distribution an...
In this paper, the failure rate function and the shape parameter for the kumaraswamy distribution an...
Nowadays, increasingly complex systems are critical due to the sectors and enterprises which they su...
For a system with n s-independent components, the uncertainty regarding the reliability of component...
For a system with n s-independent components, the uncertainty regarding the reliability of component...
In reliability engineering, data about failure events is often scarce. To arrive at meaningful estim...
In reliability engineering, data about failure events is often scarce. To arrive at meaningful estim...
In reliability engineering, data about failure events is often scarce. To arrive at meaningful estim...
In reliability engineering, data about failure events is often scarce. To arrive at meaningful estim...
In reliability engineering, data about failure events is often scarce. To arrive at meaningful estim...
An imprecise Bayesian nonparametric approach to system reliability with multiple types of components...
An imprecise Bayesian nonparametric approach to system reliability with multiple types of components...
An imprecise Bayesian nonparametric approach to system reliability with multiple types of components...
Master's thesis in Risk managementNowadays, increasingly complex systems are critical due to the sec...