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
Link To Document :
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