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■混合随机变量列L_p收敛性

L_p Convergence for ■-Mixing Random Variables
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摘要 设{Xn;n≥1}是ρ珓混合随机变量序列,{an,k;1≤k≤n}是实数阵列,利用矩不等式和截尾方法,研究n∑k=1 an,kXk的Lp收敛性,所获的结论推广和改进了前人的相关结果. Let{Xn;n≥1}be a sequence of -mixing random variables,{an,k;1≤k≤n}be an array of real numbers.By the moment inequality and truncated method,the authors study the Lp convergence for the weighted sums n∑k=1 an,kXk results extend and improve the corresponding results made in some previous papers.
出处 《华侨大学学报(自然科学版)》 CAS 北大核心 2012年第2期229-231,共3页 Journal of Huaqiao University(Natural Science)
基金 国家自然科学基金资助项目(11061012) 广西自然科学基金资助项目(2010GXNSFA013120) 广西研究生教育创新计划资助项目(2010105960202M32)
关键词 ■混合 随机变量 矩不等式 截尾方法 Lp收敛 p-mixing random variables moment inequality truncated method Lp convergence
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参考文献7

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