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The Global ETD Search service is a free service for researchers
to find electronic theses and dissertations. This service is
provided by the
Networked Digital Library of Theses and Dissertations.
Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
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Showing 1 to 2 of 2 (0.117 seconds)| 1 |
An Asymptotic Approach to Progressive CensoringHofmann, Glenn, Cramer, Erhard, Balakrishnan, N., Kunert, Gerd 10 December 2002 (has links) (PDF)
Progressive Type-II censoring was introduced by Cohen (1963) and has since been
the topic of much research. The question stands whether it is sensible to use this
sampling plan by design, instead of regular Type-II right censoring. We introduce
an asymptotic progressive censoring model, and find optimal censoring schemes for
location-scale families. Our optimality criterion is the determinant of the 2x2 covariance
matrix of the asymptotic best linear unbiased estimators. We present an explicit
expression for this criterion, and conditions for its boundedness. By means of numerical
optimization, we determine optimal censoring schemes for the extreme value,
the Weibull and the normal distributions. In many situations, it is shown that these
progressive schemes significantly improve upon regular Type-II right censoring.
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| 2 |
An Asymptotic Approach to Progressive CensoringHofmann, Glenn, Cramer, Erhard, Balakrishnan, N., Kunert, Gerd 10 December 2002 (has links)
Progressive Type-II censoring was introduced by Cohen (1963) and has since been
the topic of much research. The question stands whether it is sensible to use this
sampling plan by design, instead of regular Type-II right censoring. We introduce
an asymptotic progressive censoring model, and find optimal censoring schemes for
location-scale families. Our optimality criterion is the determinant of the 2x2 covariance
matrix of the asymptotic best linear unbiased estimators. We present an explicit
expression for this criterion, and conditions for its boundedness. By means of numerical
optimization, we determine optimal censoring schemes for the extreme value,
the Weibull and the normal distributions. In many situations, it is shown that these
progressive schemes significantly improve upon regular Type-II right censoring.
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