This paper presents a hierarchical Bayesian approach to the estimation of components ’ reliability (survival) using a Weibull model for each of them. The proposed method can be used to estimation with general survival censored data, because the estimation of a component’s reliability in a series (parallel) system is equivalent to the estimation of its survival function with right- (left-) censored data. Besides the Weibull parametric model for reliability data, independent gamma distributions are considered at the first hierarchical level for the Weibull parameters and independent uniform distributions over the real line as priors for the parameters of the gammas. In order to evaluate the model, an example and a simulation study are discuss...
In a reliability or maintenance analysis of a complex system, it is important to be able to identify...
O principal objetivo desse trabalho é introduzir um modelo geral bayesiano Weibull hierárquico para ...
Author: Abd Ellah, A.H. - Department of Mathematics, Teachers College, P.O. Box 4341, Riyadh 11491, ...
This paper describes the unknown parameter and reliability function of the Weibull distribution base...
Inthis article, we consider the problem of estimating the parameters and reliability function of the...
Bayesian Inference of the Weibull-Pareto Distribution Weibull distribution has been extensively used...
The Weibull distribution has been widely used in survival and engineering reliability analysis. In l...
A two parameter Weibull distribution is assumed to be the appropriate model of an engineering device...
In the reliability modeling field, we sometimes encounter systems with uncertain structures, and the...
In reliability theory, the most important problem is to determine the reliability of a complex syste...
In ideal circumstances, failure time data for a K component series system contain the time to failur...
Based on the competing risks grouped data, Bayesian estimation approach is considered for the parame...
The main purpose of this work is to draw comparisons between the classical maximum likelihood and th...
As the most useful distribution for modeling and analyzing life time data in the medical, paramedica...
Bayes and frequentist estimators are obtained for the two-parameter Weibull failure time distributio...
In a reliability or maintenance analysis of a complex system, it is important to be able to identify...
O principal objetivo desse trabalho é introduzir um modelo geral bayesiano Weibull hierárquico para ...
Author: Abd Ellah, A.H. - Department of Mathematics, Teachers College, P.O. Box 4341, Riyadh 11491, ...
This paper describes the unknown parameter and reliability function of the Weibull distribution base...
Inthis article, we consider the problem of estimating the parameters and reliability function of the...
Bayesian Inference of the Weibull-Pareto Distribution Weibull distribution has been extensively used...
The Weibull distribution has been widely used in survival and engineering reliability analysis. In l...
A two parameter Weibull distribution is assumed to be the appropriate model of an engineering device...
In the reliability modeling field, we sometimes encounter systems with uncertain structures, and the...
In reliability theory, the most important problem is to determine the reliability of a complex syste...
In ideal circumstances, failure time data for a K component series system contain the time to failur...
Based on the competing risks grouped data, Bayesian estimation approach is considered for the parame...
The main purpose of this work is to draw comparisons between the classical maximum likelihood and th...
As the most useful distribution for modeling and analyzing life time data in the medical, paramedica...
Bayes and frequentist estimators are obtained for the two-parameter Weibull failure time distributio...
In a reliability or maintenance analysis of a complex system, it is important to be able to identify...
O principal objetivo desse trabalho é introduzir um modelo geral bayesiano Weibull hierárquico para ...
Author: Abd Ellah, A.H. - Department of Mathematics, Teachers College, P.O. Box 4341, Riyadh 11491, ...