@article{(Open Science Index):https://publications.waset.org/pdf/15474, title = {Estimation of R= P [Y < X] for Two-parameter Burr Type XII Distribution}, author = {H.Panahi and S.Asadi}, country = {}, institution = {}, abstract = {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. }, journal = {International Journal of Mathematical and Computational Sciences}, volume = {4}, number = {12}, year = {2010}, pages = {1475 - 1480}, ee = {https://publications.waset.org/pdf/15474}, url = {https://publications.waset.org/vol/48}, bibsource = {https://publications.waset.org/}, issn = {eISSN: 1307-6892}, publisher = {World Academy of Science, Engineering and Technology}, index = {Open Science Index 48, 2010}, }