• Title of article

    Extreme Values and the Multivariate Compact Law of the Iterated Logarithm

  • Author/Authors

    Sepanski، Steven J. نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2001
  • Pages
    -988
  • From page
    989
  • To page
    0
  • Abstract
    For a sequence of independent identically distributed Euclidean random vectors, we prove a compact Law of the iterated logarithm when Finitely many maximal terms are omitted from the partial sum. With probability one, the limiting cluster set of the appropriately operator normed partial sums is the closed unit Euclidean ball. The result is proved under the hypotheses that the random vectors belong to the Generalized Domain of Attraction of the multivariate Gaussian law and satisfy a mild integrability condition. The integrability condition characterizes how many maximal terms must be omitted from the partial sum sequence.
  • Keywords
    operator normalization , Trimmed sums , Law of the iterated logarithm , Central limit theorem , generalized domain of attraction , Extreme values
  • Journal title
    JOURNAL OF THEORETICAL PROBABILITY
  • Serial Year
    2001
  • Journal title
    JOURNAL OF THEORETICAL PROBABILITY
  • Record number

    108333