Bayesian and semi-Bayesian estimators of parameters of the generalized inverse Weibull distribution are obtained using Jeffreys’ prior and informative prior under specific assumptions of loss function. Using simulation, the relative efficiency of the proposed estimators is obtained under different set-ups. A real life example is also given
Based on the competing risks grouped data, Bayesian estimation approach is considered for the parame...
One of the most important lifetime distributions that is used for modelling and analysing data in cl...
2000 Mathematics Subject Classification: 62E16,62F15, 62H12, 62M20.This paper is concerned with the ...
In this paper, we propose to obtain the Bayesian estimators of unknown parameter of a three paramete...
In this paper, Inverse Weibull Distribution is considered. The classical Maximum likelihood estimato...
In this paper, the generalized inverse Weibull distribution including the exponentiated or proportio...
In this paper, we obtained Bayesian estimators of the shape parameter of the Exponentiated Inverted ...
In this paper, generalized inverse generalized Weibull distribution is considered for Bayesian analy...
We considered the Bayesian analysis of a shape parameter of the Weibull-Exponential distribution in ...
We introduce a new lifetime distribution which is an extension of Weibull distribution and yields a ...
Bayesian estimation of the continuous Weibull distribution parameters was studied by Ahmad and Ahmad...
AbstractThe Weibull distribution provides a statistical model which has a wide variety of applicatio...
In this article we consider statistical inferences about the unknown parameters of the inverse Weibu...
Although the idea of Bayesian inference dates back to the late 18th century, its use by statistician...
In this thesis, new classes of Weibull and inverse Weibull distributions including the generalized n...
Based on the competing risks grouped data, Bayesian estimation approach is considered for the parame...
One of the most important lifetime distributions that is used for modelling and analysing data in cl...
2000 Mathematics Subject Classification: 62E16,62F15, 62H12, 62M20.This paper is concerned with the ...
In this paper, we propose to obtain the Bayesian estimators of unknown parameter of a three paramete...
In this paper, Inverse Weibull Distribution is considered. The classical Maximum likelihood estimato...
In this paper, the generalized inverse Weibull distribution including the exponentiated or proportio...
In this paper, we obtained Bayesian estimators of the shape parameter of the Exponentiated Inverted ...
In this paper, generalized inverse generalized Weibull distribution is considered for Bayesian analy...
We considered the Bayesian analysis of a shape parameter of the Weibull-Exponential distribution in ...
We introduce a new lifetime distribution which is an extension of Weibull distribution and yields a ...
Bayesian estimation of the continuous Weibull distribution parameters was studied by Ahmad and Ahmad...
AbstractThe Weibull distribution provides a statistical model which has a wide variety of applicatio...
In this article we consider statistical inferences about the unknown parameters of the inverse Weibu...
Although the idea of Bayesian inference dates back to the late 18th century, its use by statistician...
In this thesis, new classes of Weibull and inverse Weibull distributions including the generalized n...
Based on the competing risks grouped data, Bayesian estimation approach is considered for the parame...
One of the most important lifetime distributions that is used for modelling and analysing data in cl...
2000 Mathematics Subject Classification: 62E16,62F15, 62H12, 62M20.This paper is concerned with the ...
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