| 负相伴随机变量序列加权和的强大数律 |
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| 引用本文： | 李杰.负相伴随机变量序列加权和的强大数律[J].浙江大学学报(理学版),2013,40(1):23-26. |
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| 作者姓名： | 李杰 |
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| 作者单位： | 浙江财经学院数学与统计学院,浙江杭州,310018 |
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| 基金项目： | 浙江省自然科学基金资助项目(Y6110615);教育部人文社科研究规划基金资助项目(12YJA910003) |
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| 摘 要： | 令{Xn,n≥1}是负相伴随机变量序列.导出了负相伴同分布随机变量加权和的强大数律，该结论推广了SUNG和BAI等的结果.
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| 关 键 词： | 强大数律 几乎处处收敛 负相伴随机变量 加权和 |
| 收稿时间： | 2011-12-26; |
Strong law for weighted sums of negatively associated random variables |
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| LI Jie.Strong law for weighted sums of negatively associated random variables[J].Journal of Zhejiang University(Sciences Edition),2013,40(1):23-26. |
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| Authors: | LI Jie |
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| Institution: | LI Jie(School of Mathematics and Statistics,Zhejiang University of Finance and Economics,Hangzhou 310018,China) |
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| Abstract: | Let {X,n,n≥} be a sequence of negatively associated random variables. In this paper, a strong law of large number is established for weighted sums of negatively associated and identically distributed random variables. This is the extension of the results of SUNG and BAI et al. |
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| Keywords: | strong law of large number almost surely convergence negatively associated random variables weighted sums |
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