• 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