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本文对仅在矩条件限制下的任意B值r.v.序列的强收敛性进行讨论,改进推广了已有的几个结果,使之成为本文结论的推论,同时也推广了其它相关的经典结论. 相似文献
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仅在一阶矩有限的条件下获得了非负NOD随机变量序列正则和的逆矩的渐近逼近,特别得到了部分和的逆矩的渐近逼近.本文的结论推广了已有的结果. 相似文献
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本文研究一般自治系统的极限环存在性问题,在一定条件下,我们证明该系统极限环的存在性,所得结果推广和改进了文[5—7]的相应结论. 相似文献
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本文研究二阶带阻尼问题周期解的存在性问题.在局部渐近二次条件下,利用临界点理论,获得一些新的存在性结果,推广了已有文献的相关存在性结论. 相似文献
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该文研究了非Lipschitz条件下的倒向重随机微分方程, 给出了此类方程解的存在唯一性 定理, 推广Pardoux和Peng 1994年的结论; 同时也得到了此类方程在非Lipschitz条件下的比较定理, 推广了Shi,Gu和Liu 2005年的结果. 从而推广倒向重随机微分方程在随机控制和随机偏微分方程在 粘性解方面的应用. 相似文献
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In this paper, we discuss the complete convergence of weighted sums for arrays of rowwise m-negatively associated random variables. By applying moment inequality and truncation methods, the sufficient conditions of complete convergence of weighted sums for arrays of rowwise m-negatively associated random variables are established. These results generalize and complement some known conclusions. 相似文献
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Complete Convergence of Weighted Sums for Arrays of Rowwise $m$-Negatively Associated Random Variables 下载免费PDF全文
In this paper, we discuss the complete convergence of weighted sums for
arrays of rowwise $m$-negatively associated random variables. By applying moment
inequality and truncation methods, the sufficient conditions of complete convergence
of weighted sums for arrays of rowwise $m$-negatively associated random variables are
established. These results generalize and complement some known conclusions. 相似文献
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本文研究了NA变量线性形式的强稳定性.利用随机变量的截尾术及强大数定律,得到了一般情况下不同分布NA变量具有强稳定性的充分条件,推广了NA列的Jamison型加权和具有强稳定性的充分条件. 相似文献
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In this paper, the authors discuss the moment
complete convergence for weighted sums of -mixing random
variables, and obtains the sufficient condition for moment complete
convergence of -mixing sequence under some mixing rate
condition, which generalize the result of moment complete
convergence for weighted sums of i.i.d. random variables to
-mixing random variables. 相似文献
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本文研究ρ-混合随机变量序列的加权和.利用文献[10]的矩不等式,在勿需控制混合系数的情况下,得到了完全收敛的充分条件,对“同分布”情形,得到了完全收敛的必要条件,推广了文献[8,10]中的有关结果. 相似文献
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In this paper we extend a central limit theorem of Peligrad for uniformly strong mixing random fields satisfying the Lindeberg condition in the absence of stationarity property. More precisely, we study the asymptotic normality of the partial sums of uniformly \(\alpha \)-mixing non-stationary random fields satisfying the Lindeberg condition, in the presence of an extra dependence assumption involving maximal correlations. 相似文献
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本文讨论了不同分布NA随机变量序列加权和的完全收敛性,获得了较[7]中的定理1及定理A更为一般的安全收敛性,并得到了完全收敛速度与矩条件之间的等价关系。 相似文献
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A. V. Bulinski 《Vestnik St. Petersburg University: Mathematics》2011,44(2):89-96
Positively associated stationary random fields on d-dimensional integral lattice arise in various models of mathematical statistics, percolation theory, statistical physics,
and reliability theory. In this paper, we shall be concerned with a field with covariance functions satisfying a more general
condition than summability. A criterion for the validity of the central limit theorem (CLT) for partial sums of a field from
this class is established. The sums are taken over an increasing nest of parallelepipeds or cubes. The well-known conjecture
of Newman stated that for an associated stationary random field the above condition on the covariance function should force
the CLT to hold. As was shown by N. Herrndorf and A. P. Shashkin, this conjecture fails already for d = 1. In the present paper, the uniform integrability of the squared partial sums is shown as being of key importance for
the CLT to hold. Thus, an extension of Lewis’s theorem proved for a sequence of random variables is obtained. Also, it is
indicated how to modify Newman’s conjecture for any d. A representation of variances of partial sums of a field by means of slowly varying functions of several arguments is used
in an essential way. 相似文献