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Extensions of the Hájek–Rényi inequality to moments of higher order

Published online by Cambridge University Press:  24 October 2008

J. E. A. Dunnage
Affiliation:
Chelsea College of Science and Technology, London SW3 6LX

Extract

1. Introduction. Bernoulli trials. Consider a sequence of Bernoulli trials. Let p, assumed to satisfy 0<p < 1, be the probability of success at any given trial and let q = 1–p. If Nn is the number of successes in the first n trials, it is well known that Nn/n→p almost surely as n→∞ so that for every > 0,

as n→∞, and it is clearly of great interest to know quantitatively how this probability depends upon n and .

Type
Research Article
Copyright
Copyright © Cambridge Philosophical Society 1972

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References

REFERENCES

(1)Bernstein, S. N.Probability Theory, 4th ed. (Goztehizdat, Moscow, 1946).Google Scholar
(2)Bickel, P. J. A.Hájek–Rényi extension of Lévy's inequality and some applications. Acta Math. Acad. Sci. Hungar. 21 (1970), 199206.Google Scholar
(3)Dunnage, J. E. A.Khintchine's lemma on sums of random variables. J. London Math. Soc. (2) 2 (1970), 563566.CrossRefGoogle Scholar
(4)Hájek, J. and Rényi, A.Generalization of an inequality of Kolmogorov. Acta Math. Acad. Sci. Hungar. 6 (1955), 281283.CrossRefGoogle Scholar
(5)Loète, M.Probability Theory, 3rd ed. (Van Nostrand, New York, 1963).Google Scholar
(6)Rényi, A.Probability Theory. (North-Holland Pub. Co., Amsterdam, 1970.)Google Scholar