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Change point analysis of extreme values
Author(s) -
Dierckx G.,
Teugels J. L.
Publication year - 2010
Publication title -
environmetrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.68
H-Index - 58
eISSN - 1099-095X
pISSN - 1180-4009
DOI - 10.1002/env.1041
Subject(s) - extreme value theory , mathematics , generalized pareto distribution , statistics , scale parameter , generalized extreme value distribution , limit (mathematics) , pareto distribution , scale (ratio) , heavy tailed distribution , series (stratigraphy) , normal distribution , random variable , mathematical analysis , physics , paleontology , quantum mechanics , biology
In a sample from the distribution of a random variable, it is possible that the tail behavior of the distribution changes at some point in the sample. This tail behavior can be described by absolute or relative excesses of the data over a high threshold, given that the random variable exceeds the threshold. The limit distribution of the absolute excesses is given by a generalized Pareto distribution with an extremal parameter γ and a scale parameter σ. When the extreme value index γ is positive, then the relative excesses can be described in the limit by a Pareto distribution with this index as parameter. In this paper we concentrate on testing whether changes occur in the value of the extreme value index γ and/or the scale parameter. To this end, appropriate test statistics are introduced based on the likelihood approach for independent data. Asymptotic properties of these test statistics are studied leading to adequate critical values. After giving a practical test procedure, we apply our results to a series of simulations and real life examples. Copyright © 2010 John Wiley & Sons, Ltd.