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Activity Number:
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586
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Type:
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Topic Contributed
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Date/Time:
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Thursday, August 6, 2009 : 10:30 AM to 12:20 PM
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Sponsor:
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International Chinese Statistical Association
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| Abstract - #303633 |
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Title:
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Statistical Analysis of Adaptive Progressively Censored Data
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Author(s):
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Hon Keung (Tony) Ng*+ and Debasis Kundu and Ping Shing Chan
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Companies:
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Southern Methodist University and Indian Institute of Technology Kanpur and Chinese University of Hong Kong
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Address:
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3225 Daniel Ave. , Dallas, TX, 75275-0332,
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Keywords:
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Progressive Censoring ; Exponential Distribution ; Exact Inference ; Adaptive procedure
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Abstract:
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In this talk, I will introduce a mixture of Type-I censoring and Type-II progressively censoring schemes, called adaptive progressively hybrid censoring scheme, which is useful in life-testing or reliability experiments. This censoring scheme can be viewed as a design in which we are assured of getting a pre-fixed number of observed failure times for efficiency of statistical inference plus the total time on test will not be too far away from an ideal time limit. Parameter estimation for the exponential and Weibull distributions is discussed. Different methods are compared using Monte Carlo simulation.
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