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Abstract Details
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Activity Number:
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573
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Type:
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Contributed
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Date/Time:
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Wednesday, August 3, 2011 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Quality and Productivity
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| Abstract - #301782 |
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Title:
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Statistical Inference of Adaptive Progressively Censored Data with Lognormal Lifetimes
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Author(s):
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Fang Duan*+ and Hon Keung Tony Ng
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Companies:
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Southern Methodist University and Southern Methodist University
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Address:
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, Dallas, TX, 75275,
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Keywords:
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Life-testing ;
Type II progressive censoring ;
maximum likelihood estimator ;
least square estimation
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Abstract:
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An adaptive progressive censoring scheme, which is useful in life-testing or reliability experiments, is introduced in this talk. This censoring scheme can be viewed as an efficient design in which the number of observed failure times is pre-fixed, and the total time on test will not be too far away from an ideal time limit. Parameter estimation for the lognormal distribution is discussed. Different estimation methods, including maximum likelihood estimation (MLE), approximate MLE and least square estimation are compared using Monte Carlo simulation.
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