Add to ORKGAbstract: In this paper the classical estimators of the shape parameter ș for the Burr Type XII distribution, such as, the Maximum Likelihood Estimator (MLE), the Uniformly Minimum Variance Unbiased Estimator (UMVUE), and the Minimum Mean Squared Error (MinMSE) estimator are obtained. Then the problem of finding the minimax estimators of this parameter under the squared log error, precautionary, and weighted balanced squared error loss functions by applying the theorem o
The problem of estimating the parameter θ, when it is restricted to an interval of the form [,1]m, i...
The Burr XII distribution is one of the most important distributions in Survival analysis. In this a...
Let the random variable $X$ be normally distributed with known variance $\sigma\sp 2 >0$. It is supp...
In general, classical methods such as maximum likelihood (ML) and least squares (LS) estimation meth...
In this article, we consider the estimation of P[Y < X], when strength, X and stress, Y are two inde...
In this paper, the estimation of stress-strength parameter is considered When the strength and stres...
The Burr Type XII distribution is one of the systems of continuous distributions and is widely known...
Burr type XII distribution plays an important role in reliability modeling, risk analyzing and proce...
This paper compares the robust and E-Bayesian estimations of the shape parameter for Burr XII distri...
[[abstract]]This paper suggests a good estimation procedure for Burr type XII parameters under the p...
The two parameter Burr type X distribution is considered and its scale parameter is estimated from a...
In this paper, we derive the generalized Bayesian shrinkage estimator of parameter of Burr XII distr...
The paper deals with the maximum likelihood estimation of the parameters of the Burr type V distribu...
[[abstract]]This study considers the estimation of a two-parameter Burr-XII distribution under Type ...
Burr type III is an important distribution used to model the failure time data. The paper addresses ...
The problem of estimating the parameter θ, when it is restricted to an interval of the form [,1]m, i...
The Burr XII distribution is one of the most important distributions in Survival analysis. In this a...
Let the random variable $X$ be normally distributed with known variance $\sigma\sp 2 >0$. It is supp...
In general, classical methods such as maximum likelihood (ML) and least squares (LS) estimation meth...
In this article, we consider the estimation of P[Y < X], when strength, X and stress, Y are two inde...
In this paper, the estimation of stress-strength parameter is considered When the strength and stres...
The Burr Type XII distribution is one of the systems of continuous distributions and is widely known...
Burr type XII distribution plays an important role in reliability modeling, risk analyzing and proce...
This paper compares the robust and E-Bayesian estimations of the shape parameter for Burr XII distri...
[[abstract]]This paper suggests a good estimation procedure for Burr type XII parameters under the p...
The two parameter Burr type X distribution is considered and its scale parameter is estimated from a...
In this paper, we derive the generalized Bayesian shrinkage estimator of parameter of Burr XII distr...
The paper deals with the maximum likelihood estimation of the parameters of the Burr type V distribu...
[[abstract]]This study considers the estimation of a two-parameter Burr-XII distribution under Type ...
Burr type III is an important distribution used to model the failure time data. The paper addresses ...
The problem of estimating the parameter θ, when it is restricted to an interval of the form [,1]m, i...
The Burr XII distribution is one of the most important distributions in Survival analysis. In this a...
Let the random variable $X$ be normally distributed with known variance $\sigma\sp 2 >0$. It is supp...