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Abstract Details
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Activity Number:
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415
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Type:
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Contributed
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Date/Time:
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Tuesday, July 31, 2012 : 2:00 PM to 3:50 PM
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Sponsor:
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SSC
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| Abstract - #305762 |
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Title:
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Pitman Closeness as a Criterion for the Determination of the Optimal Progressive Censoring Scheme
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Author(s):
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Katherine Davies*+ and William Volterman and N. Balakrishnan
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Companies:
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University of Manitoba and McMaster University and McMaster University
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Address:
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Department of Statistics, Winnipeg, MB, R3T 2N2, Canada
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Keywords:
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progressive censoring ;
Pitman closeness ;
BLUE ;
optimal censoring scheme
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Abstract:
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In a progressive Type-II censoring experiment when the underlying distribution is one-parameter exponential, the distribution of the Best Linear Unbiased Estimator (BLUE) is free of the progressive censoring scheme. As such, many criteria comparing BLUEs fail to identify an optimal censoring scheme. We consider here the problem of finding the optimal progressive censoring scheme for the exponential distribution according to Pitman closeness criterion.
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