Estimation of R= P [Y < X] for Two-parameter Burr Type XII Distribution
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.
Keywords: Stress-Strength model, Maximum likelihood estimator, Bayes estimator, Burr type XII distribution.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1085105
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[1] I.W. Burr, "Cumulative frequency distribution," Annals of Mathematical Statistics vol. 13, 215-232, 1942.
[2] H. Panahi, and S. Asadi, "Burr Type XII Distribution: Different Method of Estimations," The Tenth Islamic Countries Conference on Statistical Sciences The American University, Egypt, 2009.
[3] I.G. Surles, and W.J. Padgett, "Inference for reliability and stressstrength for a scaled Burr Type X distribution," Lifetime Data Analysis vol. 7,
[102] 187-200, 2001.
[4] M.Z. Raqab, and D. Kundu, "Comparison of Different Estimators of P
[Y < X] for a Scaled Burr Type X Distribution,- Communication in Statistics-Computations and Simulations vol. 34(2), 465-483, 2005.
[5] Q. Shao, "Notes on maximum likelihood estimation for the threeparameter Burr XII distribution," Computational Statistics & Data Analysis vol. 45, 675 - 687, 2004.
[6] D. Moore, and A.S. Papadopoulos, ÔÇÿThe Burr type XII distribution as a failure model under various loss functions,- Microelectronics Reliability 40, 2117-2122, 2000.
[7] R.N. Rodriguez, "guide to Burr Type XII distributions," Biometrika vol. 64,129-134, 1977.
[8] K.E. Ahmad, M.E. Fakhry, and Z.F. Jaheen, "Empirical Bayes estimation of P(Y < X) and characterization of Burr-type X model," Journal of Statistical Planning and Inference vol. 64, 297-308, 1997.
[9] J.G. Surles, and W.J. Padgett, "Some properties of a scaled Burr type X distribution," Journal of Statistical Planning and Inference vol. 128, Issue 1, 271-280, 2005.
[10] A.M. Abd-Elfattah, and R.M. Mandouh, ÔÇÿEstimation of Pr{Y