%0 Journal Article %A H.Panahi and S.Asadi %D 2010 %J International Journal of Mathematical and Computational Sciences %B World Academy of Science, Engineering and Technology %I Open Science Index 48, 2010 %T Estimation of R= P [Y < X] for Two-parameter Burr Type XII Distribution %U https://publications.waset.org/pdf/15474 %V 48 %X 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. %P 1475 - 1480