A two-sided estimate in the Hsu--Robbins--Erdös law of large numbers
Let X1, X2, ... be independent identically distributed random variables. Then, Hsu and Robbins (1947) together with Erdös (1949, 1950) have proved that , if and only if E[X21] < [infinity] and E[X1] = 0. We prove that there are absolute constants C1, C2 [set membership, variant] (0, [infinity]) such that if X1, X2, ... are independent identically distributed mean zero random variables, then c1[lambda]-2 E[X12·1{X1[lambda]}][less-than-or-equals, slant]S([lambda])[less-than-or-equals, slant]C2[lambda]-2 E[X12·1{X1[lambda]}], for every [lambda] > 0.
Year of publication: |
1997
|
---|---|
Authors: | Pruss, Alexander R. |
Published in: |
Stochastic Processes and their Applications. - Elsevier, ISSN 0304-4149. - Vol. 70.1997, 2, p. 173-180
|
Publisher: |
Elsevier |
Keywords: | Rates of convergence in the law of large numbers Complete convergence Hsu-Robbins-Erdos law of large numbers Tail probabilities of sums of independent identically distributed random variables |
Saved in:
Saved in favorites
Similar items by person
-
Pruss, Alexander R., (2000)
-
A strictly stationary, N-tuplewise independent counterexample to the Central Limit Theorem
Bradley, Richard C., (2009)
- More ...