Abstract
Let X1 ,..., Xn be independent random variables and let\(S_n = \sum\limits_{i = 1}^n {X_i }\). For the sequence of random variables
where t0=0<t1<...<tp=n, p⩾1, under certain conditions on ti,\(i = \overline {1,n}\), one proves a series of general theorems of the type of the iterated logarithm laws.
Similar content being viewed by others
Literature cited
V. A. Egorov, “Asymptotic behavior of the quadratic variation for trajectories of processes with independent increments,” J. Sov. Math.,27, No. 6 (1984).
I. I. Gikhman and A. V. Skorokhod, Stochastic Differential Equations and Their Applications [in Russian], Naukova Dumka, Kiev (1982).
M. Csörgö and P. Revesz, Strong Approximations in Probability and Statistics, Academic Press, New York (1981).
V. Strassen, “An invariance principle for the law of the iterated logarithm,” Z. Wahrsch. Verw. Gebiete,3, No. 3, 211–226 (1964).
J. Chover, “On Strassen's version of the log log law,” Z. Wahrsch. Verw. Gebiete,8, No. 1, 83–90 (1967).
Additional information
Translated from Veroyatnostnye Raspredeleniya i Matematicheskaya Statistika, pp. 155–170, 1986.
Rights and permissions
About this article
Cite this article
Egorov, V.A. A certain generalization of the law of the iterated logarithm. J Math Sci 38, 2254–2262 (1987). https://doi.org/10.1007/BF01093826
Issue Date:
DOI: https://doi.org/10.1007/BF01093826