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
Link To Document :
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