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| 引用本文： | ������,������,��ï��. �������ɾʧ�����¹���ָ���ֲ��IJ����ƶ�[J]. 应用概率统计, 2017, 33(4): 369-384. DOI: 10.3969/j.issn.1001-4268.2017.04.004 |
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| 作者姓名： | ������ ������ ��ï�� |
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| 作者单位： | ???????????????????, ???????????????????; ¤?????????????????; ?й???????????? |
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| 摘 要： |
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| 关 键 词： | ?????????? ?Ч???? ??????????? EM?? |
Parameters Inference of Generalized Exponential#br#Distribution Based on Generalized Progressively#br#Hybrid Censoring Scheme |
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| TIAN YuZhu,QIU XiaoPeng,TIAN MaoZai. Parameters Inference of Generalized Exponential#br#Distribution Based on Generalized Progressively#br#Hybrid Censoring Scheme[J]. Chinese Journal of Applied Probability and Statisties, 2017, 33(4): 369-384. DOI: 10.3969/j.issn.1001-4268.2017.04.004 |
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| Authors: | TIAN YuZhu QIU XiaoPeng TIAN MaoZai |
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| Affiliation: | School of Statistics and Mathematics, Central University of Finance and Economics; School of Mathematics and Statistics, Henan University;of Science and Technology; School of Mathematics and Information Science, Longnan Teacher College; School of Statistics, Renmin University of China |
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| Abstract: | As a new reliability test plan, generalized progressivehybrid censoring can improve test efficiency by allowing experimenters to observea pre-specified number of failure samples before the final termination point.Based on a class of widely used life distribution in life data analysis ---generalized exponential distribution, this paper discusses its parametersinference issue under generalized progressive hybrid censoring scheme. EMAlgorithm is used to estimate parameters of the considered model. Simulationstudies and a real-data analysis are carried out to illustrate the performanceof finite sample for the proposed procedure. |
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| Keywords: | generalized exponential distribution failure samples generalized progressive hybrid censoring EM algorithm |
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