Admissibility of the constant-coverage probability estimator for estimating the coverage function of certain confidence interval

Consider a confidence interval for a randomly chosen linear combination of the elements of the mean vector of a p-dimensional normal distribution. The constant coverage probability is the usual estimator for the coverage function of this interval. Wang (1995) have shown that this estimator is inadmi...

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Veröffentlicht in:Statistics & probability letters Jg. 36; H. 4; S. 365 - 372
1. Verfasser: Wang, Hsiuying
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Elsevier B.V 03.01.1998
Elsevier
Schriftenreihe:Statistics & Probability Letters
Schlagworte:
Admissibility
Confidence interval
Confidence interval Admissibility Coverage function Constant coverage probability estimator
Constant coverage probability estimator
Coverage function
Admissibility
62C15
Coverage function
Constant coverage probability estimator
62C10
Confidence interval
ISSN:0167-7152, 1879-2103
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Beschreibung
Zusammenfassung:Consider a confidence interval for a randomly chosen linear combination of the elements of the mean vector of a p-dimensional normal distribution. The constant coverage probability is the usual estimator for the coverage function of this interval. Wang (1995) have shown that this estimator is inadmissible under the squared error loss, if p ⩾ 5. In this paper, we consider the case where p ⩽ 4 and prove that it is admissible under the same loss.
ISSN:0167-7152
1879-2103
DOI:10.1016/S0167-7152(97)00083-7