A Stochastic EM Algorithm for Progressively Censored Data Analysis
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2014Access:
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Zhang, M., Ye, Z. & Xie, M. A Stochastic EM Algorithm for Progressively Censored Data Analysis, Quality and Reliability Engineering International, 30 (5), 2014, 711 - 722Download Item:
Abstract:
Progressive censoring technique is useful in lifetime data analysis. Simple approaches to
progressive data analysis are crucial for its widespread adoption by reliability engineers. This
study develops an efficient yet easy-to-implement framework for analyzing progressively
censored data by making use of the stochastic EM algorithm. Based on this framework, we
develop specific stochastic EM procedures for several popular lifetime models. These
procedures are shown to be very simple. We then demonstrate the applicability and efficiency
of the stochastic EM algorithm by a fatigue life dataset with proper modification and by a
progressively censored dataset from a life test on hard disk drives.
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http://people.tcd.ie/zhangm3Description:
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Quality and Reliability Engineering International;30 (5);
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