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DTIC ADA204930: Bias and Variance Approximations for Estimators of ...
by Defense Technical Information Center
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Most techniques for estimating extreme values are based
on the assumption of a parametric family motivated by
extreme value limit theory. This creates two sources of
estimation error: The ordinary estimation variance and a
bias created by mis-specification of a parametric model.
In this paper approximate formulae are derived for the
bias and variance of four widely studied estimators. This
allows comparison among the different estimators. The
development relies on recent work on probabilistic
approximations in extreme value theory. Keywords: Extreme
values; Generalized extreme value distribution;
Generalized pareto distribution; Gumbel distribution;
Maximum likelihood; Threshold methods.
Date Published: 2018-02-21 23:54:11
Identifier: DTIC_ADA204930
Item Size: 22447228
Language: english
Media Type: texts
# Topics
DTIC Archive; Smith, Richard L ; NORT...
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