Add to ORKGIn the present study, the Pareto model is considered as the model from which observations are to be estimated using a Bayesian approach. Properties of the Bayes estimators for the unknown parameters have studied by using different asymmetric loss functions on hybrid censoring pattern and their risks have compared. The properties of maximum likelihood estimation and approximate confidence length have also been investigated under hybrid censoring. The performances of the procedures are illustrated based on simulated data obtained under the Metropolis-Hastings algorithm and a real data set
The paper addresses the problem of estimation of the model parameters of the logistic exponential di...
This article proposes the Bayes estimation of the parameter and reliability function for xgamma dist...
The two most popular censoring schemes used in life testing experiments are Type-I and Type-II censo...
Two-parameter Pareto distribution is not only a potential model for lifetesting problems, also estab...
In this paper, we use the combined-unified hybrid censoring samples to obtain the maximum likelihood...
In this paper, we proposed Bayes estimators for estimating the parameters, reliability, hazard rate,...
In the literature, different estimation procedures are used for inference about {\color{red} Kuma...
A hybrid censoring model can be described as a censoring procedure whose stopping time is specified ...
The challenge of estimating the parameters of the Weibull-Geometric distribution using progressively...
[[abstract]]We consider estimation of unknown parameters of a two-parameter Kumaraswamy distribution...
A hybrid censoring is a mixture of Type-I and Type-II censoring schemes. This arti-cle presents the ...
A Type-II progressively hybrid censoring scheme for competing risks data is introduced, where the ex...
The Progressive First-Failure (PFF) censoring scheme is considered in the present article for the Em...
The progressive Type-II censoring scheme has become quite popular. A drawback of a progressive censo...
Survival analysis is used in various fields for analyzing data involving the duration between two ev...
The paper addresses the problem of estimation of the model parameters of the logistic exponential di...
This article proposes the Bayes estimation of the parameter and reliability function for xgamma dist...
The two most popular censoring schemes used in life testing experiments are Type-I and Type-II censo...
Two-parameter Pareto distribution is not only a potential model for lifetesting problems, also estab...
In this paper, we use the combined-unified hybrid censoring samples to obtain the maximum likelihood...
In this paper, we proposed Bayes estimators for estimating the parameters, reliability, hazard rate,...
In the literature, different estimation procedures are used for inference about {\color{red} Kuma...
A hybrid censoring model can be described as a censoring procedure whose stopping time is specified ...
The challenge of estimating the parameters of the Weibull-Geometric distribution using progressively...
[[abstract]]We consider estimation of unknown parameters of a two-parameter Kumaraswamy distribution...
A hybrid censoring is a mixture of Type-I and Type-II censoring schemes. This arti-cle presents the ...
A Type-II progressively hybrid censoring scheme for competing risks data is introduced, where the ex...
The Progressive First-Failure (PFF) censoring scheme is considered in the present article for the Em...
The progressive Type-II censoring scheme has become quite popular. A drawback of a progressive censo...
Survival analysis is used in various fields for analyzing data involving the duration between two ev...
The paper addresses the problem of estimation of the model parameters of the logistic exponential di...
This article proposes the Bayes estimation of the parameter and reliability function for xgamma dist...
The two most popular censoring schemes used in life testing experiments are Type-I and Type-II censo...