In this article, we consider the estimation of P[Y < X], when strength, X and stress, Y are two independent variables of Burr Type XII distribution. The MLE of the R based on one simple iterative procedure is obtained. Assuming that the common parameter is known, the maximum likelihood estimator, uniformly minimum variance unbiased estimator and Bayes estimator of P[Y < X] are discussed. The exact confidence interval of the R is also obtained. Monte Carlo simulations are performed to compare the different proposed methods
In this paper, we obtain the point and interval estimations for a three-parameter Burr-XII distribut...
The paper considers statistical inference for R = P(X \u3c Y) in the case when both X and Y have gen...
This study is concerned with the problem of estimating the reliability function of the parameters of...
Abstract: In this paper,the estimation of stress-strength parameter R = P (Y<X) is considered Whe...
[[abstract]]Let X and Y follow independent Burr type XII distributions, which share a common inner s...
Abstract: In this paper the classical estimators of the shape parameter ș for the Burr Type XII dist...
The Burr Type XII distribution is one of the systems of continuous distributions and is widely known...
This paper compares the robust and E-Bayesian estimations of the shape parameter for Burr XII distri...
[[abstract]]Let X and Y have two-parameter Burr XII distributions. The maximum-likelihood estimator ...
[[abstract]]This study considers the estimation of a two-parameter Burr-XII distribution under Type ...
In general, classical methods such as maximum likelihood (ML) and least squares (LS) estimation meth...
AbstractMaximum likelihood and Bayes estimates for the two parameters and the reliability function o...
Draft of articleA new four parameter flexible extension of the Burr-XII distribution is proposed. A ...
In this work, we introduce a new extension of the Fréchet distribution. A set of the mathematical an...
A three parameter Burr distribution is considered. Two measures of reliability are discussed, namely...
In this paper, we obtain the point and interval estimations for a three-parameter Burr-XII distribut...
The paper considers statistical inference for R = P(X \u3c Y) in the case when both X and Y have gen...
This study is concerned with the problem of estimating the reliability function of the parameters of...
Abstract: In this paper,the estimation of stress-strength parameter R = P (Y<X) is considered Whe...
[[abstract]]Let X and Y follow independent Burr type XII distributions, which share a common inner s...
Abstract: In this paper the classical estimators of the shape parameter ș for the Burr Type XII dist...
The Burr Type XII distribution is one of the systems of continuous distributions and is widely known...
This paper compares the robust and E-Bayesian estimations of the shape parameter for Burr XII distri...
[[abstract]]Let X and Y have two-parameter Burr XII distributions. The maximum-likelihood estimator ...
[[abstract]]This study considers the estimation of a two-parameter Burr-XII distribution under Type ...
In general, classical methods such as maximum likelihood (ML) and least squares (LS) estimation meth...
AbstractMaximum likelihood and Bayes estimates for the two parameters and the reliability function o...
Draft of articleA new four parameter flexible extension of the Burr-XII distribution is proposed. A ...
In this work, we introduce a new extension of the Fréchet distribution. A set of the mathematical an...
A three parameter Burr distribution is considered. Two measures of reliability are discussed, namely...
In this paper, we obtain the point and interval estimations for a three-parameter Burr-XII distribut...
The paper considers statistical inference for R = P(X \u3c Y) in the case when both X and Y have gen...
This study is concerned with the problem of estimating the reliability function of the parameters of...