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1.
本文研究了行为混合阵列加权和的收敛性.利用混合序列的Rosenthal型最大值不等式,讨论了混合阵列加权和的L1收敛性,依概率收敛性,几乎处处收敛性,及完全收敛性之间的等价关系,推广了行独立随机变量阵列相应的结果.  相似文献   

2.
NOD随机变量序列加权和的矩完全收敛性   总被引:1,自引:0,他引:1  
讨论了NOD随机变量序列加权和的矩完全收敛性,获得了NOD随机变量序列加权和的矩完全收敛性的充要条件.这些结论显示了矩完全收敛性和矩条件之间的等价关系,同时推广了Wu Qunying(2011)的结果.  相似文献   

3.
本文研究了行为(ρ)混合阵列加权和的收敛性.利用(ρ)混合序列的Rosenthal型最大值不等式,讨论了(ρ)混合阵列加权和的L1收敛性,依概率收敛性,几乎处处收敛性,及完全收敛性之间的等价关系,推广了行独立随机变量阵列相应的结果.  相似文献   

4.
安军  袁德美 《数学杂志》2007,27(3):337-342
本文研究独立随机变量序列加权和的强收敛性,利用截尾法和Borel-Cantelli引理,证明了加权系数ank为列阵情形的强收敛性,在一般双下标加权系数的加权部分和的强收敛性,并对Jamison型加权部分和情形证明了其强收敛的充要条件,推广了Chow与Teicher(1971)[3]的相应结果.  相似文献   

5.
本文研究两两NQD系加权和的完全收敛性,证明了一般双下标加权系数的加权部分和的完全收敛性,改进了吴群英(2002)的结果。  相似文献   

6.
研究Ψ-混合序列加权和的完全收敛性,证明了一般双下标加权系数的加权部分和的完全收敛性,改进了杨善朝的结果.  相似文献   

7.
本文研究了φ-混合序列加权和的矩完全收敛性.利用矩不等式和截尾的方法,获得了φ-混合序列加权和的矩完全收敛性的充分条件.所得结果推广了Ahmed等(2002)及陈平炎和王定成(2010)的结论.  相似文献   

8.
本文研究行两两NQD阵列加权和的完全收敛性,证明了一般双下标加权系数的加权部分和的完全收敛性,推广了文献[8]的结果.  相似文献   

9.
ρ-混合序列加权和的完全收敛性   总被引:1,自引:0,他引:1  
本文讨论了不同分布ρ-混合序列部分和的完全收敛性,建立了一个定理.然后通过此非加权和的完全收敛性定理来研究加权和的完全收敛性定理,从而改进了前人所获得的已有的一些结果.  相似文献   

10.
关于NA列乘积和强收敛性的注记   总被引:3,自引:0,他引:3  
讨论了NA随机变量序列乘积和的强收敛性,将王定成等(2002)关于NA列的广义Jam ison型加权和的几乎处处收敛性的结论推广到加权乘积和的强收敛性.  相似文献   

11.
In this paper, we establish a complete convergence result and a complete moment convergence result for weighted sums of widely orthant dependent random variables under mild conditions. As corollaries, the corresponding results for weighted sums of extended negatively orthant dependent random variables are also obtained, which generalize and improve the related known works in the literature.  相似文献   

12.
In this paper, we study the complete convergence for weighted sums of linearly negative quadrant dependent (LNQD) random variables based on the exponential bounds. In addition, we present some complete convergence for arrays of rowwise LNQD random variables.  相似文献   

13.
Negatively associated (NA) random variables are a more general class of random variables which include a set of independent random variables and have been applied to many practical fields. In this paper, the complete moment convergence of weighted sums for arrays of row-wise NA random variables is investigated. Some sufficient conditions for complete moment convergence of weighted sums for arrays of row-wise NA random variables are established. Moreover, under the weaker conditions, we extend the results of Baek et al. [J. Korean Stat. Soc. 37 (2008), pp. 73–80] and Sung [Abstr. Appl. Anal. 2011 (2011)]. As an application, the complete moment convergence of moving average processes based on an NA random sequence is obtained, which improves the result of Li and Zhang [Stat. Probab. Lett. 70 (2004), pp. 191–197 ].  相似文献   

14.
在满足H可积的条件下,利用随机变量的截尾方法,以及相关引理,给出了行内两两NQD序列以及p混合条件的随机组列部分和的完全收敛定理以及强大数定理.  相似文献   

15.
In this paper, the complete convergence is established for the weighted sums of negatively superadditive-dependent random variables. As an application, the Marcinkiewicz-Zygmund strong law of large numbers for the random weighted average is also achieved, and a simulation study is done for the asymptotic behaviour of random weighting estimator.  相似文献   

16.
Letr>1. For eachn1, let {X nk , –<k<} be a sequence of independent real random variables. We provide some very relaxed conditions which will guarantee for every >0. This result is used to establish some results on complete convergence for weighted sums of independent random variables. The main idea is that we devise an effetive way of combining a certain maximal inequality of Hoffmann-Jørgensen and rates of convergence in the Weak Law of Large Numbers to establish results on complete convergence of weighted sums of independent random variables. New results as well as simple new proofs of known ones illustrate the usefulness of our method in this context. We show further that this approach can be used in the study of almost sure convergence for weighted sums of independent random variables. Convergence rates in the almost sure convergence of some summability methods ofiid random variables are also established.  相似文献   

17.
Under some conditions of uniform integrability and appropriate conditions, mean convergence theorems and weak laws of large numbers for weighted sums of dependent random variables are obtained. Our results extend and improve the results of [H.S. Sung, S. Lisawadi, A. Volodin, Weak laws of large numbers for arrays under a condition of uniform integrability, J. Korean Math. Soc. 45 (2008) 289-300] and [M. Ordóñez Cabrera, A. Volodin, Mean convergence theorems and weak laws of large numbers for weighted sums of random variables under a condition of weighted integrability, J. Math. Anal. Appl. 305 (2005) 644-658].  相似文献   

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