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Estimated confidence under ancillary statistic everywhere-valid constraint

✍ Scribed by Hsiuying Wang


Book ID
104340467
Publisher
Elsevier Science
Year
1998
Tongue
English
Weight
473 KB
Volume
67
Category
Article
ISSN
0378-3758

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✦ Synopsis


Consider the problem of estimating the coverage function of an usual confidence interval for a randomly chosen linear combination of the elements of the mean vector of a p-dimensional normal distribution. The usual constant coverage probability estimator is shown to be admissible under the ancillary statistic everywhere-valid constraint. Note that this estimator is not admissible under the usual sense if p 7> 5. Since the criterion of admissibility under the ancillary statistic everywhere-valid constraint is a reasonable one, that the constant coverage probability estimator has been commonly accepted is justified. (~) 1998 Elsevier Science B.V. All rights reserved.


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