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
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