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Activity Number:
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365
- Contributed Poster Presentations: Korean International Statistical Society
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Type:
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Contributed
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Date/Time:
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Wednesday, August 5, 2020 : 10:00 AM to 2:00 PM
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Sponsor:
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Korean International Statistical Society
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Abstract #314069
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Title:
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Exact Inference for the Exponential Parameter Based on Generalized Adaptive Progressive Hybrid Censoring Scheme
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Author(s):
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Subin Cho* and Kyeongjun Lee and Hyemin Jang
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Companies:
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Daegu University and Daegu University and National Health Insurance Service
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Keywords:
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exponential;
progressive censoring;
adaptive progressive censoring;
generalized adaptive progressive hybrid censoring
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Abstract:
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Adaptive progressive hybrid censoring scheme has become quite popular in reliability and lifetime-testing studies. However, the drawback of the Adaptive progressive hybrid censoring scheme is that it might take a very long time in order to complete the life test. In this article, we propose generalized adaptive progressive hybrid censoring scheme which provide a guarantee of the time to complete the life test. We also derive the exact distribution of the maximum likelihood estimator as well as exact confidence interval for the parameter of the exponential distribution under the generalized adaptive progressive hybrid censoring scheme. The results of simulation studies and real-life data analysis are included to illustrate the proposed method.
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Authors who are presenting talks have a * after their name.
