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Strong laws for
Author(s):
J.
Aaronson;
R.
Burton;
H.
Dehling;
D.
Gilat;
T.
Hill;
B.
Weiss
Abstract | Similar articles | Additional information
Abstract:
Strong laws of large numbers are given for
Retrieve articles in Transactions of the American Mathematical Society with MSC (1991): 60F15, 62G05, 28D99, 62G30 Retrieve articles in all Journals with MSC (1991): 60F15, 62G05, 28D99, 62G30
J.
Aaronson
R.
Burton
H.
Dehling
D.
Gilat
T.
Hill
B.
Weiss
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- and
-Statistics
-statistics (linear combinations of order statistics) and for
-statistics (averages of kernels of random samples) for ergodic stationary processes, extending classical theorems of Hoeffding and of Helmers for iid sequences. Examples are given to show that strong and even weak convergence may fail if the given sufficient conditions are not satisfied, and an application is given to estimation of correlation dimension of invariant measures. 