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Activity Number:
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67
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Type:
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Contributed
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Date/Time:
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Sunday, August 2, 2009 : 4:00 PM to 5:50 PM
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Sponsor:
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International Chinese Statistical Association
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| Abstract - #303543 |
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Title:
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Estimation of Lifetime Distribution When Censoring Is Missing
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Author(s):
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Jiantian Wang*+
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Companies:
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Kean University
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Address:
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1000 Morris ave, Union, NJ, 07083,
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Keywords:
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missing-censoring ; maximum likelihood estimation ; lifetime distribution
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Abstract:
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This paper considers the estimation of lifetime distribution based on missing-censoring data. Using a simple empirical approach rather than the traditional maximum likelihood argument, we obtain the parametric estimations of lifetime distribution under the assumption that the failure time follows exponential or gamma distribution. We also derive the nonparametric estimation for both continuous and discrete failure distributions under the assumption that the censoring distribution is known. The loss of efficiency due to missing-censoring is shown to be generally small if the data model is specified correctly. Identifiability issue of the lifetime distribution with missing-censoring data is also addressed.
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