| 关于Mokov随机序列随机选择的一个强极限定理 |
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| 引用本文： | 周志燕,胡强国,郑亚强,冯英华. 关于Mokov随机序列随机选择的一个强极限定理[J]. 科技信息, 2007, 0(20): 44 |
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| 作者姓名： | 周志燕 胡强国 郑亚强 冯英华 |
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| 作者单位： | 淮南联合大学基础部 安徽淮南232000 |
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| 摘 要： | 利用一种新方法--网微分法及无穷乘积定理,将Bernoulli序列赌博系统的极限定理推广到Markov值随机序列情形,进一步允许随机选择函数取值于有限区间,扩展了随机选择概念.
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| 关 键 词： | Markov随机序列 广义随机选择 网微分 几乎处处收敛 |
A STRONG LIMIT THEOREM ON GENERALIZED RANDOM SLECTIONFOR MARKOV SEQUENCES |
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| Zhou Zhi-yan,Hu Qiang-guo,Zheng Ya-qiang,Feng Ying-hua. A STRONG LIMIT THEOREM ON GENERALIZED RANDOM SLECTIONFOR MARKOV SEQUENCES[J]. Science, 2007, 0(20): 44 |
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| Authors: | Zhou Zhi-yan Hu Qiang-guo Zheng Ya-qiang Feng Ying-hua |
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| Abstract: | In this paper,a strong limit theorem on gambling strategy for binary Bernoulli sequence,i.e.irregularity theorem,is extended to random selection for dependent random variables,via using a new method-differentiability on net.Furthermore,by allowing the selection function to take value in finite interval[-M,M],the conception of random selection is generalized. |
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| Keywords: | Markov China generalized random selection differentiability on net a.s. convergence |
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