• Title of article

    Estimating the spectral measure of an extreme value distribution

  • Author/Authors

    Einmahl، نويسنده , , John H.J. and de Haan، نويسنده , , Laurens and Sinha، نويسنده , , Ashoke Kumar and Chowdhury، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 1997
  • Pages
    29
  • From page
    143
  • To page
    171
  • Abstract
    Let (X1, Y1), (X2, Y2),…, (Xn, Yn) be a random sample from a bivariate distribution function F which is in the domain of attraction of a bivariate extreme value distribution function G. This G is characterized by the extreme value indices and its spectral measure or angular measure. The extreme value indices determine both the marginals and the spectral measure determines the dependence structure. In this paper, we construct an empirical measure, based on the sample, which is a consistent estimator of the spectral measure. We also show for positive extreme value indices the asymptotic normality of the estimator under a suitable 2nd order strengthening of the bivariate domain of attraction condition.
  • Keywords
    Empirical process , Multivariate extremes , Estimation , Vapnik-Cervonenkis (VC) class , Dependence structure , Functional central limit theorem
  • Journal title
    Stochastic Processes and their Applications
  • Serial Year
    1997
  • Journal title
    Stochastic Processes and their Applications
  • Record number

    1576133