Add to ORKGIn this paper, a general inverse exponential form of the underlying distribution and a general conjugate prior are used to discuss the maximum likelihood and Bayesian estimation based on unified hybrid censored sample. A general procedure for deriving two-sample Bayesian prediction is developed using unified hybrid censoring scheme. Special cases of the inverse Weibull model such as the inverse exponential and the inverse Rayleigh distributions are then used as illustrative examples. Finally, numerical examples are presented for illustrating all the inferential procedures developed here
In this paper, the Bayesian prediction intervals for a future gos's from a mixture of two components...
The families of mixture distributions have a wider range of applications in different fields such as...
In this paper, we use the combined-unified hybrid censoring samples to obtain the maximum likelihood...
In this paper, a general exponential form of the underlying distribution and a general conjugate pri...
The combination of generalization Type-I hybrid censoring and generalization Type-II hybrid censorin...
When Type-II hybrid censoring is used on two samples in a combined manner, the exact inference for t...
The hybrid censoring is a mixture of type-I and type-II censoring schemes. This paper presents the s...
The current study addresses Bayesian prediction intervals for exponentiated family distributions obs...
In this paper, we proposed Bayes estimators for estimating the parameters, reliability, hazard rate,...
A hybrid censoring is a mixture of Type-I and Type-II censoring schemes. This arti-cle presents the ...
[[abstract]]Recently, progressive hybrid censoring schemes have become quite popular in life-testing...
In this paper, we proposed Bayes estimators for estimating the parameters, reliability, hazard rate,...
In this paper, the problem of prediction is discussed for inverse Weibull distribution. Posterior di...
The Bayesian interval estimation of the scale parameter for two-parameter exponential distribution i...
In this paper, the maximum likelihood and Bayesian estimation are developed based on pooled sample o...
In this paper, the Bayesian prediction intervals for a future gos's from a mixture of two components...
The families of mixture distributions have a wider range of applications in different fields such as...
In this paper, we use the combined-unified hybrid censoring samples to obtain the maximum likelihood...
In this paper, a general exponential form of the underlying distribution and a general conjugate pri...
The combination of generalization Type-I hybrid censoring and generalization Type-II hybrid censorin...
When Type-II hybrid censoring is used on two samples in a combined manner, the exact inference for t...
The hybrid censoring is a mixture of type-I and type-II censoring schemes. This paper presents the s...
The current study addresses Bayesian prediction intervals for exponentiated family distributions obs...
In this paper, we proposed Bayes estimators for estimating the parameters, reliability, hazard rate,...
A hybrid censoring is a mixture of Type-I and Type-II censoring schemes. This arti-cle presents the ...
[[abstract]]Recently, progressive hybrid censoring schemes have become quite popular in life-testing...
In this paper, we proposed Bayes estimators for estimating the parameters, reliability, hazard rate,...
In this paper, the problem of prediction is discussed for inverse Weibull distribution. Posterior di...
The Bayesian interval estimation of the scale parameter for two-parameter exponential distribution i...
In this paper, the maximum likelihood and Bayesian estimation are developed based on pooled sample o...
In this paper, the Bayesian prediction intervals for a future gos's from a mixture of two components...
The families of mixture distributions have a wider range of applications in different fields such as...
In this paper, we use the combined-unified hybrid censoring samples to obtain the maximum likelihood...