An almost sure central limit theorem for products of sums under association

Let { X n , n ⩾ 1 } be a strictly stationary positively or negatively associated sequence of positive random variables with E X 1 = μ > 0 and Var ( X 1 ) = σ 2 < ∞ . Denote S n = ∑ i = 1 n X i and γ = σ / μ the coefficient of variation. Under suitable conditions, we show that ∀ x lim n → ∞ 1 l...

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Bibliographic Details
Published inStatistics & probability letters Vol. 78; no. 4; pp. 367 - 375
Main Authors Li, Yun-Xia, Wang, Jian-Feng
Format Journal Article
LanguageEnglish
Published Elsevier B.V 01.03.2008
Elsevier
SeriesStatistics & Probability Letters
Subjects
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Summary:Let { X n , n ⩾ 1 } be a strictly stationary positively or negatively associated sequence of positive random variables with E X 1 = μ > 0 and Var ( X 1 ) = σ 2 < ∞ . Denote S n = ∑ i = 1 n X i and γ = σ / μ the coefficient of variation. Under suitable conditions, we show that ∀ x lim n → ∞ 1 log n ∑ k = 1 n 1 k I ∏ j = 1 k S j k ! μ k 1 / ( γ σ 1 k ) ⩽ x = F ( x ) a . s ., where σ 1 2 = 1 + 2 σ 2 ∑ j = 2 ∞ Cov ( X 1 , X j ) , F ( · ) is the distribution function of the random variable e 2 N , and N is a standard normal random variable. This extends the earlier work on independent, positive random variables (see Khurelbaatar and Rempala [2006. A note on the almost sure limit theorem for the product of partial sums. Appl. Math. Lett. 19, 191–196]).
ISSN:0167-7152
1879-2103
DOI:10.1016/j.spl.2007.07.009