Activity Number:
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187
- 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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Monday, July 30, 2018 : 10:30 AM to 12:20 PM
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Sponsor:
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Korean International Statistical Society
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Abstract #329640
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Title:
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Estimation of the Joint Multiply Progressive Type II Censored Data for the Exponential Distribution Model
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Author(s):
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Kyeongjun Lee* and Sanggyeong Yoon and Yunhwan Noh and Youngseuk Cho
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Companies:
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Daegu University and Pusan National University and Pusan National University and Pusan National University
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Keywords:
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approximate maximum likelihood estimator;
exponential distribution;
joint multiply progressive Type II censoring;
maximum likelihood estimator
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Abstract:
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Recently, joint censoring scheme has received practical significance in the statistical life-tests of products. In this paper, we propose a new scheme called joint multiply progressive Type II censoring. This paper presents the statistical inference on the scale parameter for the exponential distribution. Based on the joint multiply progressive Type II censoring scheme, we consider the maximum likelihood estimator of the scale parameters. The scale parameter is estimated by approximate maximum likelihood methods that use Taylor series expansion. Then We compare the performances of different methods by Monte Carlo simulations.
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Authors who are presenting talks have a * after their name.