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ON LIFETIME ESTIMATION IN THE PRESENCE OF LENGTH-BIASED SAMPLING PLAN.

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Title: ON LIFETIME ESTIMATION IN THE PRESENCE OF LENGTH-BIASED SAMPLING PLAN.
Authors: AKMAN, OLCAY1 akmano@cofc.edu
Source: International Journal of Reliability, Quality & Safety Engineering. Jun2004, Vol. 11 Issue 2, p187-194. 8p.
Subjects: Work sampling, Sampling (Process), Gaussian processes, Stochastic processes, Distribution (Probability theory), Industrial engineering
Abstract: In the presence of length-biasedness, a lifetime measure of interest may be estimated in two ways: (i) by modeling the data correctly using a length-biased distribution and using the resulting estimators in the original model as an adjustment, or (ii) by modeling the data correctly using a length-biased distribution, and obtaining the original lifetime measure of interest via a transformation, if one exists. Here we examine sufficiency in information context under transformations. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Reliability, Quality & Safety Engineering is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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  Data: ON LIFETIME ESTIMATION IN THE PRESENCE OF LENGTH-BIASED SAMPLING PLAN.
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  Data: <searchLink fieldCode="DE" term="%22Work+sampling%22">Work sampling</searchLink><br /><searchLink fieldCode="DE" term="%22Sampling+%28Process%29%22">Sampling (Process)</searchLink><br /><searchLink fieldCode="DE" term="%22Gaussian+processes%22">Gaussian processes</searchLink><br /><searchLink fieldCode="DE" term="%22Stochastic+processes%22">Stochastic processes</searchLink><br /><searchLink fieldCode="DE" term="%22Distribution+%28Probability+theory%29%22">Distribution (Probability theory)</searchLink><br /><searchLink fieldCode="DE" term="%22Industrial+engineering%22">Industrial engineering</searchLink>
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  Data: In the presence of length-biasedness, a lifetime measure of interest may be estimated in two ways: (i) by modeling the data correctly using a length-biased distribution and using the resulting estimators in the original model as an adjustment, or (ii) by modeling the data correctly using a length-biased distribution, and obtaining the original lifetime measure of interest via a transformation, if one exists. Here we examine sufficiency in information context under transformations. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of International Journal of Reliability, Quality & Safety Engineering is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1142/S0218539304001440
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      – SubjectFull: Work sampling
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      – SubjectFull: Sampling (Process)
        Type: general
      – SubjectFull: Gaussian processes
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      – SubjectFull: Stochastic processes
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      – SubjectFull: Distribution (Probability theory)
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      – SubjectFull: Industrial engineering
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      – TitleFull: ON LIFETIME ESTIMATION IN THE PRESENCE OF LENGTH-BIASED SAMPLING PLAN.
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              Text: Jun2004
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