[[abstract]]Let X and Y have two-parameter Burr XII distributions. The maximum-likelihood estimator of δ=P(X<Y) is studied under the progressively first failure-censored samples. Three confidence intervals of δ are constructed by using an asymptotic distribution of the maximum-likelihood estimator of δ and two bootstrapping procedures, respectively. Some computational results from intensive simulations are presented. An illustrative example is provided to demonstrate the application of the proposed method.[[notice]]補正完畢[[journaltype]]國外[[booktype]]紙本[[countrycodes]]GB
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 problem for the unknown parameters of the Burr type XII distribution b...
Burr type III is an important distribution used to model the failure time data. The paper addresses ...
[[abstract]]Let X and Y follow independent Burr type XII distributions, which share a common inner s...
[[abstract]]In this article, we study the estimation problems for the Burr type XII distribution bas...
[[sponsorship]]嘉義大學應用數學系; 臺灣智慧科技與應用統計學會[[conferencetype]]國內[[conferencedate]]20120616~20120616[[isca...
AbstractMaximum likelihood and Bayes estimates for the two parameters and the reliability function o...
Abstract: In this paper,the estimation of stress-strength parameter R = P (Y<X) is considered Whe...
[[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 ...
Athree parameter Burr distribution is considered. Two measures of reliability are discussed. Point a...
[[abstract]]The three-parameter Burr type XII distribution (3pBXIID) is quite flexible and contains ...
Let X and Y follow two independent Burr type XII distributions and δ=P(X<Y) . If X is the stress tha...
In this paper, we consider the maximum likelihood estimation of the parameters of Burr XII distribut...
In this paper, we obtain the point and interval estimations for a three-parameter Burr-XII distribut...
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 problem for the unknown parameters of the Burr type XII distribution b...
Burr type III is an important distribution used to model the failure time data. The paper addresses ...
[[abstract]]Let X and Y follow independent Burr type XII distributions, which share a common inner s...
[[abstract]]In this article, we study the estimation problems for the Burr type XII distribution bas...
[[sponsorship]]嘉義大學應用數學系; 臺灣智慧科技與應用統計學會[[conferencetype]]國內[[conferencedate]]20120616~20120616[[isca...
AbstractMaximum likelihood and Bayes estimates for the two parameters and the reliability function o...
Abstract: In this paper,the estimation of stress-strength parameter R = P (Y<X) is considered Whe...
[[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 ...
Athree parameter Burr distribution is considered. Two measures of reliability are discussed. Point a...
[[abstract]]The three-parameter Burr type XII distribution (3pBXIID) is quite flexible and contains ...
Let X and Y follow two independent Burr type XII distributions and δ=P(X<Y) . If X is the stress tha...
In this paper, we consider the maximum likelihood estimation of the parameters of Burr XII distribut...
In this paper, we obtain the point and interval estimations for a three-parameter Burr-XII distribut...
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 problem for the unknown parameters of the Burr type XII distribution b...
Burr type III is an important distribution used to model the failure time data. The paper addresses ...