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- W2005691458 abstract "Abstract In this article, we consider the estimation of P[Y < X], when Y and X are two independent scaled Burr Type X distribution having the same scale parameters. The maximum likelihood estimator and its asymptotic distribution is used to construct an asymptotic confidence interval of P[Y < X]. Assuming that the common scale parameter is known, the maximum likelihood estimator, uniformly minimum variance unbiased estimator, and approximate Bayes estimators of P[Y < X] are discussed. Different methods and the corresponding confidence intervals are compared using Monte Carlo simulations. One data set has been analyzed for illustrative purposes." @default.
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- W2005691458 date "2005-04-01" @default.
- W2005691458 modified "2023-10-14" @default.
- W2005691458 title "Comparison of Different Estimators of<i>P</i> [<i>Y</i> < <i>X</i>] for a Scaled Burr Type X Distribution" @default.
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- W2005691458 doi "https://doi.org/10.1081/sac-200055741" @default.
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