A two parameter Weibull distribution is assumed to be the appropriate model of an engineering device. A Bayesian estimate of reliability is developed by assuming that a value β0 of the shape parameter is known. Then we transform the Weibull distribution to the equivalent Exponential distribution by the transformation t′ = tβ0, so that techniques of analysis for the case of an exponential model can be applied to the transformed Weibull distribution. Then we can get the Bayesian estimate of reliability for this exponential distribution using a suitable loss function
In this paper, we developed linear exponential (LINEX) loss function by emerging weights to produce ...
Author: Abd Ellah, A.H. - Department of Mathematics, Teachers College, P.O. Box 4341, Riyadh 11491, ...
Based on progressively Type-II censored samples, this paper deals with inference for the stress-stre...
The Weibull distribution has been widely used in survival and engineering reliability analysis. In l...
Bayes and frequentist estimators are obtained for the two-parameter Weibull failure time distributio...
In reliability theory, the most important problem is to determine the reliability of a complex syste...
In the reliability modeling field, we sometimes encounter systems with uncertain structures, and the...
In this work, we develop a General Entropy loss function (GE) to estimate the reliability function o...
Inthis article, we consider the problem of estimating the parameters and reliability function of the...
Given the recorded life times from a Weibull distribution, Bayes estimates of the reliability functi...
The exponential distribution is the most widely used reliability analysis. This distribution is very...
In this paper, we consider the problem of estimating stress-strength reliability for inverse Weibull...
This paper presents a hierarchical Bayesian approach to the estimation of components ’ reliability (...
A generalized version of the three-parameter transmuted inverse Weibull distribution is introduced i...
The purpose of the paper is to estimate the parameters of the two-component mixture of Weibull distr...
In this paper, we developed linear exponential (LINEX) loss function by emerging weights to produce ...
Author: Abd Ellah, A.H. - Department of Mathematics, Teachers College, P.O. Box 4341, Riyadh 11491, ...
Based on progressively Type-II censored samples, this paper deals with inference for the stress-stre...
The Weibull distribution has been widely used in survival and engineering reliability analysis. In l...
Bayes and frequentist estimators are obtained for the two-parameter Weibull failure time distributio...
In reliability theory, the most important problem is to determine the reliability of a complex syste...
In the reliability modeling field, we sometimes encounter systems with uncertain structures, and the...
In this work, we develop a General Entropy loss function (GE) to estimate the reliability function o...
Inthis article, we consider the problem of estimating the parameters and reliability function of the...
Given the recorded life times from a Weibull distribution, Bayes estimates of the reliability functi...
The exponential distribution is the most widely used reliability analysis. This distribution is very...
In this paper, we consider the problem of estimating stress-strength reliability for inverse Weibull...
This paper presents a hierarchical Bayesian approach to the estimation of components ’ reliability (...
A generalized version of the three-parameter transmuted inverse Weibull distribution is introduced i...
The purpose of the paper is to estimate the parameters of the two-component mixture of Weibull distr...
In this paper, we developed linear exponential (LINEX) loss function by emerging weights to produce ...
Author: Abd Ellah, A.H. - Department of Mathematics, Teachers College, P.O. Box 4341, Riyadh 11491, ...
Based on progressively Type-II censored samples, this paper deals with inference for the stress-stre...