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引用本文:??????,??????,?????.????????????????1?????????????????[J].应用概率统计,2017,33(4):369-384.
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摘    要:

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Parameters Inference of Generalized Exponential#br# Distribution Based on Generalized Progressively#br# Hybrid Censoring Scheme
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.
Authors:TIAN YuZhu  QIU XiaoPeng  TIAN MaoZai
Institution: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
Abstract:As a new reliability test plan, generalized progressive hybrid censoring can improve test efficiency by allowing experimenters to observe a 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 parameters inference issue under generalized progressive hybrid censoring scheme. EM Algorithm is used to estimate parameters of the considered model. Simulation studies and a real-data analysis are carried out to illustrate the performance of finite sample for the proposed procedure.
Keywords:generalized exponential distribution  failure samples  generalized progressive hybrid censoring  EM algorithm  
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