A family of distributions is considered, which covers many lifetime distributions as specific cases. Two measures of reliability are considered, R(t) = P(X>t) and P = P(X>Y). Shrinkage estimators are considered for the powers of parameter, R(t) and 'P' under type I and type II censorings. Simulation study is conducted to judge the performance of estimators
The well-known statistical distributions such as Exponential, Weibull and Gamma distributions have b...
In Part I Shrinkage Estimation, we let X ∼ Np(&thetas;, σ2I), where both &thetas; and σ2 are unknown...
In Part I Shrinkage Estimation, we let X ∼ Np(&thetas;, σ2I), where both &thetas; and σ2 are unknown...
A variety of shrinkage methods for estimating unknown parameters has been considered. We derive and ...
In this paper, we propose two classes of shrinkage estimators for the shape parameter of the Weibull...
In this paper a variety of shrinkage methods for estimating unknown population parameters has been c...
Properties of the Bayes shrinkage estimator for the parameter are studied of a family of probability...
This study is concerned with the problem of estimating the reliability function of the parameters of...
Exponentiated distributions are considered. Two measures of reliability are considered, R(t)=P(X>t) ...
Exponentiated distributions are considered. Two measures of reliability are considered, R(t)=P(X>...
This study is concerned with the problem of estimating the reliability function of the parameters of...
In the present article, some shrinkage testimators for the scale parameter of a two-parameter Weibul...
In this article, estimation of the parameters of a certain family of two-parameter lifetime distribu...
We consider the problem of estimating measures of precision of shrinkage-type estimators like their ...
The present work is in the area of Reliability Analysis. It is widely regarded that this is among th...
The well-known statistical distributions such as Exponential, Weibull and Gamma distributions have b...
In Part I Shrinkage Estimation, we let X ∼ Np(&thetas;, σ2I), where both &thetas; and σ2 are unknown...
In Part I Shrinkage Estimation, we let X ∼ Np(&thetas;, σ2I), where both &thetas; and σ2 are unknown...
A variety of shrinkage methods for estimating unknown parameters has been considered. We derive and ...
In this paper, we propose two classes of shrinkage estimators for the shape parameter of the Weibull...
In this paper a variety of shrinkage methods for estimating unknown population parameters has been c...
Properties of the Bayes shrinkage estimator for the parameter are studied of a family of probability...
This study is concerned with the problem of estimating the reliability function of the parameters of...
Exponentiated distributions are considered. Two measures of reliability are considered, R(t)=P(X>t) ...
Exponentiated distributions are considered. Two measures of reliability are considered, R(t)=P(X>...
This study is concerned with the problem of estimating the reliability function of the parameters of...
In the present article, some shrinkage testimators for the scale parameter of a two-parameter Weibul...
In this article, estimation of the parameters of a certain family of two-parameter lifetime distribu...
We consider the problem of estimating measures of precision of shrinkage-type estimators like their ...
The present work is in the area of Reliability Analysis. It is widely regarded that this is among th...
The well-known statistical distributions such as Exponential, Weibull and Gamma distributions have b...
In Part I Shrinkage Estimation, we let X ∼ Np(&thetas;, σ2I), where both &thetas; and σ2 are unknown...
In Part I Shrinkage Estimation, we let X ∼ Np(&thetas;, σ2I), where both &thetas; and σ2 are unknown...