Add to ORKGIn this paper, generalized inverse generalized Weibull distribution is considered for Bayesian analysis. The expressions for Bayes estimators of the parameter have been derived under squared error, precautionary, entropy, Kloss, and Al-Bayyati's loss functions by using quasi and gamma priors
In this paper, we obtained Bayesian estimators of the shape parameter of the Exponentiated Inverted ...
A new six-parameter distribution called the beta generalized inverse Weibull-geometric distribution ...
The families of mixture distributions have a wider range of applications in different fields such as...
In this paper, we propose to obtain the Bayesian estimators of unknown parameter of a three paramete...
Abstract: In this paper, Inverse Weibull Distribution is considered. The classical Maximum likelihoo...
In this paper, the Weibull-Lomax distribution is considered for Bayesian analysis. The expressions f...
In this paper, length biased Weibull distribution is considered for Bayesian analysis. The expressio...
Bayesian and semi-Bayesian estimators of parameters of the generalized inverse Weibull distribution ...
In this paper, we propose to obtain Bayesian estimators of unknown parameters of a three parameter g...
In this article we consider statistical inferences about the unknown parameters of the inverse Weibu...
The inverse Weibull distribution which was first introduced to investigate the decay of mechanical c...
In this paper, Bayes estimators of the size parameter of the Weibull distribution are obtained by ta...
Bayesian and non-Bayesian estimators are obtained for the unknown parameters of Weibull distribution...
The gamma-inverse Weibull (GIW) distribution which includes inverse Weibull, inverse exponential, ga...
In this thesis, the generalized inverseWeibull distribution including the proportional reverse hazar...
In this paper, we obtained Bayesian estimators of the shape parameter of the Exponentiated Inverted ...
A new six-parameter distribution called the beta generalized inverse Weibull-geometric distribution ...
The families of mixture distributions have a wider range of applications in different fields such as...
In this paper, we propose to obtain the Bayesian estimators of unknown parameter of a three paramete...
Abstract: In this paper, Inverse Weibull Distribution is considered. The classical Maximum likelihoo...
In this paper, the Weibull-Lomax distribution is considered for Bayesian analysis. The expressions f...
In this paper, length biased Weibull distribution is considered for Bayesian analysis. The expressio...
Bayesian and semi-Bayesian estimators of parameters of the generalized inverse Weibull distribution ...
In this paper, we propose to obtain Bayesian estimators of unknown parameters of a three parameter g...
In this article we consider statistical inferences about the unknown parameters of the inverse Weibu...
The inverse Weibull distribution which was first introduced to investigate the decay of mechanical c...
In this paper, Bayes estimators of the size parameter of the Weibull distribution are obtained by ta...
Bayesian and non-Bayesian estimators are obtained for the unknown parameters of Weibull distribution...
The gamma-inverse Weibull (GIW) distribution which includes inverse Weibull, inverse exponential, ga...
In this thesis, the generalized inverseWeibull distribution including the proportional reverse hazar...
In this paper, we obtained Bayesian estimators of the shape parameter of the Exponentiated Inverted ...
A new six-parameter distribution called the beta generalized inverse Weibull-geometric distribution ...
The families of mixture distributions have a wider range of applications in different fields such as...