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行为ND随机变量阵列加权和的矩完全收敛性 被引量:2

Complete moment convergence of weighted sums of arrays of rowwise ND random variables
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摘要 利用Hoffmann-type不等式及一系列矩不等式,通过必要的放缩,得出ND随机阵列权加和的矩完全收敛的充分条件。 By making good use of Hoffmann-type inequality and a series of moments inequalities, and some necessary scalings, the sufficient condition of complete moment convergence of weighted sums of arrays of rowwise ND random variables was obtained.
出处 《山东大学学报(理学版)》 CAS CSCD 北大核心 2015年第6期27-32,共6页 Journal of Shandong University(Natural Science)
基金 国家自然科学基金资助项目(11271020) 安徽省教育厅重大项目(KJ2012ZD01) 安徽省自然科学基金资助项目(1508085MA11)
关键词 ND随机阵列 权加和 矩完全收敛性 矩不等式 rowwise ND random variables weighted sums complete moment convergence moments inequalities
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参考文献8

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