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The maximum likelihood, moment and mixture of the estimators are for samples from the right truncated exponential distribution.
The estimators are compared empirically when all the parameters are unknown; their bias and mean square error are investigated
with the help of numerical technique. We have shown that these estimators are asymptotically unbiased. At the end, we conclude
that mixture estimators are better than the maximum likelihood and moment estimators. 相似文献
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