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An Extension of the Hájek-Rényi inequality for the case without moment conditions

Published online by Cambridge University Press:  14 July 2016

C. C. Heyde*
Affiliation:
University of Manchester

Extract

In the paper [1], Hájek and Rényi established an inequality which they formulated in the following way: X1,X2,··· are independent random variables and . For each k, EXk = 0 and , while is a non-increasing sequence of positive numbers. Then, for any ε > 0 and any positive integers n and m (n < m), The well-known Kolmogorov inequality is the particular case ck = 1, all k, and n = 1 of (1). It is the object of the present note to produce an extended version of (1) where no moment conditions need be satisfied. This provides a useful general bound and illuminates the role of certain standard techniques in the study of the almost sure behaviour of sums of independent random variables.

Type
Short Communications
Copyright
Copyright © Applied Probability Trust 1968 

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References

[1] Hájek, J. and Rényi, A. (1955) Generalization of an inequality of Kolomogorov. Acta Math. Acad. Sci. Hung. 6, 281283.CrossRefGoogle Scholar
[2] Loève, M. (1963) Probability Theory. 3rd edition. Van Nostrand, New York.Google Scholar