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   <subfield code="a">Moment inequality and complete convergence of moving average processes under asymptotically linear negative quadrant dependence assumptions</subfield>
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   <subfield code="c">[Guang-hui Cai, Hang Wu]</subfield>
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   <subfield code="a">Let {Y, Y i , −∞ &lt; i &lt; ∞} be a doubly infinite sequence of identically distributed and asymptotically linear negative quadrant dependence random variables, {a i , −∞ &lt; i &lt; ∞} an absolutely summable sequence of real numbers. We are inspired by Wang et al. (Econometric Theory 18:119-139, 2002) and Salvadori (Stoch Environ Res Risk Assess 17:116-140, 2003). And Salvadori (Stoch Environ Res Risk Assess 17:116-140, 2003) have obtained Linear combinations of order statistics to estimate the quantiles of generalized pareto and extreme values distributions. In this paper, we prove the complete convergence of $${\left\{ {{\sum\nolimits_{k = 1}^n {{\sum\nolimits_{i = - \infty }^\infty {a_{{i + k}} Y_{i} /n^{{1/t}} } }} },n \geq 1} \right\}}$$ under some suitable conditions. The results obtained improve and generalize the results of Li et al. (1992) and Zhang (1996). The results obtained extend those for negative associated sequences and ρ*-mixing sequences.</subfield>
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