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... | |
# Collections | |
dticarchive | |
additional_collections | |
# Uploaded by | |
@chris85 | |
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