Title of article
Looking for max-semistability: A new test for the extreme value condition
Author/Authors
Canto e Castro، نويسنده , , Luيsa and Dias، نويسنده , , Sandra and da Graça Temido، نويسنده , , Maria، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2011
Pages
16
From page
3005
To page
3020
Abstract
To test the extreme value condition, Cramér–Von Mises type tests were recently proposed by Drees et al. (2006) and Dietrich et al. (2002). Hüsler and Li (2006) presented a simulation study on the behavior of these tests and verified that they are not robust for models in the domain of attraction of a max-semistable distribution function. In this work we develop a test statistic that distinguishes quite well distribution functions which belong to a max-stable domain of attraction from those in a max-semistable one. The limit law is deduced and the results from a numerical simulation study are presented.
Keywords
Max-stable models , Hypothesis testing , Max-semistable models , Maximum likelihood estimator , Empirical tail quantile function
Journal title
Journal of Statistical Planning and Inference
Serial Year
2011
Journal title
Journal of Statistical Planning and Inference
Record number
2221542
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