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Elemental unbiased estimators for the Generalized Pareto tail

McRobie, FA (2013) Elemental unbiased estimators for the Generalized Pareto tail.

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Unbiased location- and scale-invariant `elemental' estimators for the GPD tail parameter are constructed. Each involves three log-spacings. The estimators are unbiased for finite sample sizes, even as small as N=3. It is shown that the elementals form a complete basis for unbiased location- and scale-invariant estimators constructed from linear combinations of log-spacings. Preliminary numerical evidence is presented which suggests that elemental combinations can be constructed which are consistent estimators of the tail parameter for samples drawn from the pure GPD family.

Item Type: Article
Divisions: Div D > Structures
Depositing User: Cron Job
Date Deposited: 17 Jul 2017 20:21
Last Modified: 27 Jul 2017 05:42