TAILIEUCHUNG - Hindawi Publishing Corporation Journal of Inequalities and Applications Volume 2011, Article ID

Hindawi Publishing Corporation Journal of Inequalities and Applications Volume 2011, Article ID 320932, 17 pages doi: Research Article Precise Asymptotics in the Law of Iterated Logarithm for Moving Average Process under Dependence Jie Li1, 2 1 2 Wang Yanan Institute for Studies in Economics, Xiamen University, Xiamen 361005, China School of Mathematics and Statistics, Zhejiang University of Finance and Economics, Hangzhou 310018, China Correspondence should be addressed to Jie Li, lijiezufe@ Received 10 November 2010; Revised 2 February 2011; Accepted 3 March 2011 Academic Editor: Ulrich Abel Copyright q 2011 Jie Li. This is an open access article distributed under the Creative Commons Attribution License,. | Hindawi Publishing Corporation Journal of Inequalities and Applications Volume 2011 Article ID 320932 17 pages doi 2011 320932 Research Article Precise Asymptotics in the Law of Iterated Logarithm for Moving Average Process under Dependence Jie Li1 2 1 Wang Yanan Institute for Studies in Economics Xiamen University Xiamen 361005 China 2 School of Mathematics and Statistics Zhejiang University of Finance and Economics Hangzhou 310018 China Correspondence should be addressed to Jie Li lijiezufe@ Received 10 November 2010 Revised 2 February 2011 Accepted 3 March 2011 Academic Editor Ulrich Abel Copyright 2011 Jie Li. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Let ịi -ot i ot be a doubly infinite sequence of identically distributed and -mixing random variables and let ai -ot i ot be an absolutely summable sequence of real numbers. In this paper we get precise asymptotics in the law of the logarithm for linear process Xk 2 otot ai kịi k 1 which extend Liu and Lin s 2006 result to moving average process under dependence assumption. 1. Introduction and Main Results Let i -ot i ot be a doubly infinite sequence of identically distributed random variables with zero means and finite variances and let ai -ot i ot be an absolutely summable sequence of real numbers. Let ot Xk ỵ ai kịi k 1 i -OT be the moving average process based on ịi -ot i ot . As usual we denote Sn xn i Xk n 1 as the sequence of partial sums. Under the assumption that i -ot i ot is a sequence of independent identically distributed random variables many limiting results have been obtained. Ibragimov 1 established the central limit theorem Burton and Dehling 2 obtained a large deviation principle Yang 3 established the central limit theorem and the law of the iterated logarithm 2 Journal of Inequalities and Applications Li et

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