共查询到18条相似文献,搜索用时 90 毫秒
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本文研究AANA随机变量序列加权和的Teicher型强大数律,利用AANA随机变量最大值的Rosenthal型不等式,给出AANA随机变量序列加权和的Teicher 型强大数律的几个充分条件.所得的结果推广和改进了前人在NA列时的相应结果. 相似文献
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本文给出了NA随机变量序列的Hájeck-Rènyi不等式,并利用它研究了NA随机变量序列的强大数律,所得结果是独立随机变量情形时相应结果的推广.而且还得到了任意随机变量序列的Hájeck-Rènyi不等式. 相似文献
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NA随机变量序列的最大部分和不等式及有界重对数律 总被引:5,自引:0,他引:5
本文给出了NA随机变量序列关于最大部分和的概率不等式及矩不等式,并获得了NA随机变量序列的Teicher型和Egorov型有界重对数律等. 相似文献
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本文给出了NA随机变量序列的Hájeck-Rènyi不等式,并利用它研究了NA随机变量序列的强大数律,所得结果是独立随机变量情形时相应结果的推广.而且还得到了任意随机变量序列的Hájeck-Rènyi不等式. 相似文献
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给出了具有不同分布的NA随机变量列满足的若干强大数律;作为应用,不仅将独立随机变量的一类强极限定理完整的推广到NA随机变量情形,而且关于NA随机变量的一些已有结果可以作为推论得出. 相似文献
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NA随机变量是一包含独立随机变量在内的有广泛应用的随机变量类,本文在一些更弱的条件下,建立了具有不同分布NA随机变量列的强大数律和有界重对数律,进而推广了已有的关于NA随机变量的结果。 相似文献
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In the paper, the strong convergence properties for two different weighted sums of negatively orthant dependent(NOD) random variables are investigated. Let {X_n, n ≥ 1}be a sequence of NOD random variables. The results obtained in the paper generalize the corresponding ones for i.i.d. random variables and identically distributed NA random variables to the case of NOD random variables, which are stochastically dominated by a random variable X. As a byproduct, the Marcinkiewicz-Zygmund type strong law of large numbers for NOD random variables is also obtained. 相似文献
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兰冲锋 《数学年刊A辑(中文版)》2015,36(4):401-410
在非同分布的情况下,给出了行为ND随机变量阵列加权和的完全收敛性的充分条件,所得结果部分地推广了独立随机变量和NA随机变量的相应结果.作为其应用,获得了ND随机变量序列加权和的Marcinkiewicz-Zygmund型强大数定律. 相似文献
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邱德华 《数学的实践与认识》2009,39(9)
利用Rosenthal型最大值不等式,得到了NA随机变量加权和的Marcinkiewicz-Zygmund强大数定律和完全收敛性,所获结果推广和改进了一些文献中相应的结果. 相似文献
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Levy's strong law of large numbers is extended to the Banach space and Chover type laws of the iterated logarithm are proved for random variables which do not necessarilly belong to the domain of normal attraction of a stable law. Also characterizations of Banach spaces in which conditions on the summands imply the above strong laws are given. 相似文献
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强大数定律的若干新结果 总被引:12,自引:0,他引:12
本文利用Hajek-Renyi型最大值不等式,获得了随机变量和的强大数定律和 收敛速度.作为应用,给出了某些相依随机变量和新的强大数定律. 相似文献
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??Examining the conditions of positively or negatively associated
sequences of random variables obeying the strong law of large numbers provided by
Alexander, the sequences of Gaussian random variables, nonnegative and uniformly bounded
sequences of random variables with general dependent structure were studied, and the
sufficient conditions for they obeying the strong law of large numbers were given. At
last, an example for Gaussian sequence satisfying the strong law of large numbers was
given. 相似文献
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B. L. S. Prakasa Rao 《Annals of the Institute of Statistical Mathematics》2009,61(2):441-460
Some properties of conditionally independent random variables are studied. Conditional versions of generalized Borel-Cantelli
lemma, generalized Kolmogorov’s inequality and generalized Hájek-Rényi inequality are proved. As applications, a conditional
version of the strong law of large numbers for conditionally independent random variables and a conditional version of the
Kolmogorov’s strong law of large numbers for conditionally independent random variables with identical conditional distributions
are obtained. The notions of conditional strong mixing and conditional association for a sequence of random variables are
introduced. Some covariance inequalities and a central limit theorem for such sequences are mentioned. 相似文献