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Exact Likelihood Inference for an Exponential Parameter under Generalized Adaptive Progressive Hybrid Censoring
Symmetry ( IF 2.2 ) Pub Date : 2020-07-09 , DOI: 10.3390/sym12071149
Hyojin Lee , Kyeongjun Lee

In this paper, we propose a new type censoring scheme named a generalized adaptive progressive hybrid censoring scheme (GenAdPrHyCS). In this new type censoring scheme, the experiment is assured to stop at a pre-assigned time. This censoring scheme is designed to correct the drawbacks in the AdPrHyCS. Furthermore, we discuss inference for one parameter exponential distribution (ExD) under GenAdPrHyCS. We derive the moment generating function of the maximum likelihood estimator (MLE) of scale parameter of ExD and the resulting lower confidence bound under GenAdPrHyCS.

中文翻译:

广义自适应渐进混合删失下指数参数的精确似然推断

在本文中,我们提出了一种新型的审查方案,称为广义自适应渐进混合审查方案(GenAdPrHyCS)。在这种新型审查方案中,确保实验在预先指定的时间停止。该审查方案旨在纠正 AdPrHyCS 中的缺陷。此外,我们讨论了 GenAdPrHyCS 下的一个参数指数分布 (ExD) 的推理。我们推导出 ExD 的尺度参数的最大似然估计量 (MLE) 的矩生成函数以及 GenAdPrHyCS 下由此产生的置信下限。
更新日期:2020-07-09
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