Convergence Rates for Probabilities of Moderate Deviations for Multidimensionally Indexed Random Variables

Autor: Dianliang Deng
Jazyk: angličtina
Rok vydání: 2009
Předmět:
Zdroj: International Journal of Mathematics and Mathematical Sciences, Vol 2009 (2009)
Druh dokumentu: article
ISSN: 0161-1712
1687-0425
DOI: 10.1155/2009/253750
Popis: Let {X,Xn¯;n¯∈Z+d} be a sequence of i.i.d. real-valued random variables, and Sn¯=∑k¯≤n¯Xk¯, n¯∈Z+d. Convergence rates of moderate deviations are derived; that is, the rates of convergence to zero of certain tail probabilities of the partial sums are determined. For example, we obtain equivalent conditions for the convergence of the series ∑n¯b(n¯)ψ2(a(n¯))P{|Sn¯|≥a(n¯)ϕ(a(n¯))}, where a(n¯)=n11/α1⋯nd1/αd, b(n¯)=n1β1⋯ndβd, ϕ and ψ are taken from a broad class of functions. These results generalize and improve some results of Li et al. (1992) and some previous work of Gut (1980).
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