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August, 1983 Strong Laws for Independent Identically Distributed Random Variables Indexed by a Sector
Allan Gut
Ann. Probab. 11(3): 569-577 (August, 1983). DOI: 10.1214/aop/1176993501

Abstract

For simplicity, let $d = 2$ and consider the points $(n, m)$ in $Z^2_+$, with $\theta m \leq n \leq \theta^{-1}m$, where $0 < \theta < 1$. For i.i.d. random variables with this set as an index set we present a law of the iterated logarithm, strong laws of large numbers and related results. We also observe that (and try to explain why) the martingale proof of the Kolmogorov strong law of large numbers yields a weaker result for this index set than the classical proofs, whereas this is not the case if the index set is all of $Z^d_+, d \geq 1$.

Citation

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Allan Gut. "Strong Laws for Independent Identically Distributed Random Variables Indexed by a Sector." Ann. Probab. 11 (3) 569 - 577, August, 1983. https://doi.org/10.1214/aop/1176993501

Information

Published: August, 1983
First available in Project Euclid: 19 April 2007

zbMATH: 0515.60028
MathSciNet: MR704543
Digital Object Identifier: 10.1214/aop/1176993501

Subjects:
Primary: 60F15
Secondary: 60G42 , 60G50

Keywords: convergence rate , i.i.d. random variables , Law of the iterated logarithm , multidimensional index , Strong law of large numbers

Rights: Copyright © 1983 Institute of Mathematical Statistics

Vol.11 • No. 3 • August, 1983
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