Boshnakov, Georgi N. (2003) Confidence characteristics of distributions. Statistics and Probability Letters, 63 (4). pp. 353-360. ISSN 0167-7152
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Abstract
We introduce the confidence characteristic of a distribution as the distribution corresponding to the decomposition concentration function. We show that the decomposition concentration function has very good differentiability properties for any distribution, that the Lebesgue measures of the shortest confidence regions of a distribution and its confidence characteristic are the same, and that similar properties hold for the entropies and the level sets of their densities.
Item Type: | Article |
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Uncontrolled Keywords: | Confidence characteristic; Entropy; Asymmetric distribution; Concentration function; Confidence density |
Subjects: | MSC 2010, the AMS's Mathematics Subject Classification > 60 Probability theory and stochastic processes MSC 2010, the AMS's Mathematics Subject Classification > 62 Statistics |
Depositing User: | Ms Lucy van Russelt |
Date Deposited: | 20 Jul 2006 |
Last Modified: | 20 Oct 2017 14:12 |
URI: | https://eprints.maths.manchester.ac.uk/id/eprint/403 |
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