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Estimating ordered quantiles of two exponential populations with a common minimum guarantee time

机译:估计具有共同的最低保证时间的两种指数群体的有序量

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摘要

The problem of estimating ordered quantiles of two exponential populations is considered, assuming equality of location parameters (minimum guarantee times), using the quadratic loss function. Under order restrictions, we propose new estimators which are the isotonized version of the MLEs, call it, restricted MLE. A sufficient condition for improving equivariant estimators is derived under order restrictions on the quantiles. Consequently, estimators improving upon the old estimators have been derived. A detailed numerical study has been done to evaluate the performance of proposed estimators using the Monte-Carlo simulation method and recommendations have been made for the use of the estimators.
机译:估计两个指数群体的有序量数的问题被认为是假设位置参数的平等(最小保证时间),使用二次丢失函数。在秩序限制下,我们提出了新的估算器,这些估算器是马尔斯的等渗版,称为限制的MLE。为了改善等分性估计器的充分条件是在定量的秩序限制下推导出来的。因此,已经得出了改善旧估算变的估计人。已经进行了详细的数值研究来评估使用Monte-Carlo仿真方法的提出估计的性能,并为使用估算器而建议进行建议。

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