COMPLETE CONVERGENCE FOR A CLASS OF MIXING SEQUENCES

Under some conditions on probability, the author obtains some results on the complete convergence for partial sums of not necessary identically distributed p-mixing se- quences, and the complete convergence for partial sums of B-valued martingale differences is also studied. As application the author gives the corresponding results on the complete convergence for randomly indexed partial sums.

Strong Law of Large Numbers and Complete Convergence for Sequences of -Mixing Random Variables

We give some theorems of strong law of large numbers and complete convergence for sequences of φ-mixing random variables. In particular, Wittmann＇s strong law of large numbers and Teicher＇s strong law of large nnumbers for independent random variables are generalized to the case of φ -minxing random variables.

On Complete Convergence for Arrays of Rowwise Strong Mixing Random Variables

In this paper, we present a general method to prove the complete conver- gence for arrays of rowwise strong mixing random variables, and give some results on complete convergence under some suitable conditions. Some Marcinkiewicz-Zygmund type strong laws of large numbers are also obtained.

Complete Convergence Properties of the Sums for -mixing Sequences of Random Variables

This paper discusses complete convergence properties of the sums of -mixing random sequences.As a result,we improve the corresponding results of Wu Qunying(2001). And extended the Baum and Katz complete convergence to the case of -mixing random sequences by moment inequality and truncating without necessarily adding any extra conditions.

Complete Convergence and Weak Law of Large Numbers for <i><span style="text-decoration:overline;">ρ</span></i>-Mixing Sequences of Random Variables

In this paper, the complete convergence and weak law of large numbers are established for ρ-mixing sequences of random variables. Our results extend and improve the Baum and Katz complete convergence theorem and the classical weak law of large numbers, etc. from independent sequences of random variables to ρ-mixing sequences of random variables without necessarily adding any extra conditions.

Complete Convergence for Weighted Sums of φ-mixing Sequence

In this paper, the complete convergence and strong law of large numbers for weighted sums of φ-mixing sequence with different distribution are investigated under some weaker moment conditions. Our results extend ones of independent sequence with identical distribution to the case of φ-mixing sequence with different distribution.

Complete Convergence for (α,β)-Mixing Random Variables Sequences

The convergence properties are studied through the analysis of （α,β）-mixing random variables sequences in different situations. By using the corresponding inequality, a convergence theorem was presented, and some results for （α,β）-mixing random variables sequences with different distributions were obtained. The results extend the corresponding theorems of independent random variable sequences.

SOME LIMIT THEOREMS FOR SEQUENCES OF PAIRWISE NQD RANDOM VARIABLES

In this article, the authors study some limit properties for sequences of pairwise NQD random variables, which are not necessarily identically distributed. They obtain Baum and Katz complete convergence and the strong stability of Jamison＇s weighted sums for pairwise NQD random variables, which may have different distributions. Some wellknown results are improved and extended.

非同分布φ-mixing序列的完全收敛性

设为随机变量序列，文章在较弱的混合速度且非同分布的条件 下证明了其完全 收敛性的一个结果.

Strong approximation for ρ-mixing sequences

We establish strong invariance principles for sums of stationary p-mixing random variables with finite and infinite second moments under weaker mixing rates. Some earlier results are improved. As applications, some results of the law of the iterated logarithm with finite and infinite variance are obtained, also a conjecture raised by Shao in 1993 is solved

■混合序列加权和的强收敛性

主要利用■混合序列的矩不等式讨论了■混合序列加权和的强收敛性质,给出了证明■混合序列加权和的强收敛性质的充分条件.该文结果推广了独立序列的相应结果.

NOD序列加权和的强收敛速度

该文研究了NOD序列加权和的强收敛速度,获得了一些新的完全收敛性的结果.该文的结果推广了陈瑞林在NA情形时的结果,部分推广了Stout在独立同分布情形时的结果.

Banach空间中Φ－miking序列的完全收敛性

研究了Ｂａｎａｃｈ空间中，Ｐ＞２时Φ－ｍｉｘｉｎｇ序列和的完全收敛性问题。通过用截断和高阶矩分析的方法，获得了在部分和二阶矩为ｎ２σ－η（η＞０）阶无穷小时．此Ｂａｎａｃｈ空间中Φ－ｍｉｘｉｎｇ序列的完全收敛性。

不同分布φ混合随机变量序列的强收敛性(英文)

本文研究了不同分布φ混合随机变量序列的强收敛性质的问题.利用φ混合随机变量序列的矩不等式和截尾的方法,获得了φ混合随机变量序列完全收敛性和几乎处处收敛性结果,所获得结果不仅推广了Baum和Katz(1965)关于独立同分布随机变量序列的结论,而且改进了Wu和Lin(2004)关于同分布混合随机变量序列的相关结论.

ρ混合序列的Marcinkiewicz强大数律与完全收敛性

讨论了ρ混合序的Marcinkiewicz强大数律与完全收敛性,所得的结果改进文献[3-4]相应的结果,并得到了完全收敛速度与矩条件之间的等价关系.

弱相依随机序列的若干新结果(英文)

设{Xn,n≥1}为-混合序列. 利用随机变量的截尾方法和-混合序列的三级数定理,讨论了-混合序列的收敛性质,并且得到了-混合序列的一类强极限定理,这些结果推广了独立序列的相应结果.最后研究了-混合序列加权和的强稳定性.

混合序列部分和的若干收敛性质

本文研究了混合序列部分和的若干收敛性质.利用Serfling不等式推广情形,证明了一类随机变量序列部分和的一个收敛性结果,获得了混合序列部分和的收敛性,并进一步得到了混合序列加权和的强收敛性和完全收敛性,推广并改进了文[2]中有关结果.

■-混合序列的弱收敛性和完全收敛性(英文)

在本文中,作者研究了■-混合序列的极限性质。得到了经典的弱收敛定理和完全收敛定理,将独立情形下的弱大数定律、Baum和Katz完全收敛性定理推广到了■-混合序列,而未额外添加任何条件。

ρ-混合序列加权和的完全收敛性及其应用

本文研究了ρ-混合序列加权和的一些强极限定理,利用最大值矩不等式,获得了ρ-混合序列加权和的完全收敛性.并将此结果应用于线性回归模型参数的最小二乘估计及非参数回归模型的权函数估计.

ρ^-混合序列的完全收敛性和强大数律

讨论了ρ-混合序列的完全收敛性和Marcinkiewicz强大数律,获得了与独立情形完全一样的Baum和Katz定理和Marcinkiewicz强大数律。