Product spacing estimation of half logistic distribution under progressive hybrid censoring

다국어 초록 (Multilingual Abstract)

In most of the life testing and reliability experiments, the experimenter is often, unable to observe life time of all items put on test and the data avilable to the experimenter is censored data. Among these censoring schemes, progressive censoring (PrC) is gaining rapid popularity. However, the drawback of the PrC is that it might take a very long time in order to complete the life test. In this reason, the progressive hybrid censoring scheme (PrHcs) was proposed. In this paper, we derive the maximum product spacings estimators (MaxPE) for the unknown parameter and reliability function (ReFtn) of half logistic distribution (HalfLD) under the PrHcs. And we derive the approximate maximum product spacings estimators (AppMaxPE) for the unknown parameter and ReFtn of HalfLD using Talyor series expansion. We also compare the estimators of unknown parameter and ReFtn in the terms of the mean squared error (MeanSqE) and bias for various PrHcs. In addition, real data example based on the PrHcs have been also analysed for illustrative purposes.

참고문헌 (Reference)

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