| 1. | Convergence properties of - mixing random sequences
混合序列的完全收敛性和强收敛性 |
| 2. | Strong convergence for mixing random sequences with different distributions
混合序列的强收敛性 |
| 3. | Complete convergence for - mixing sequences of non - identically distribution
混合序列的完全收敛性 |
| 4. | Maximal inequalities for identically distributed - mixing random variables and applications
混合序列的最大值不等式及其应用 |
| 5. | Almost sure central limit theorem for the product of the partial sums under strongly mixing
强混合序列部分和乘积的几乎处处中心极限定理 |
| 6. | The paper discuss the upper bound of the distribution of the partial sums of identically distributed mixing random variables
摘要本文讨论了同分布混合序列部分和分布函数的上界及其应用。 |
| 7. | As is well known that i . i . d random sequences are special cases of na sequences or p - mixing sequences which have not properties as good as i . i . d random sequences
众所周知，独立随机变量序列是na序列或者混合序列的一种特殊情况， na序列和-混合序列不像独立序列那样具有良好的性质。 |
| 8. | Chapter 1 summarizes some basic concepts , mainly some basic definitions , properties and some basic relations in continuous - time markov chains and all kind of mixing sequences
第一章是绪论及介绍一些基本概念，主要是标准马尔可夫过程及各种混合序列、各种收敛性的一些基本定义、性质和一些基本关系。 |
| 9. | This paper discusses from the point of complete convergence the convergence of random sequences which include both i . i . d . and dependent case , such as na sequences and - mixing sequences
这篇文章主要从完全收敛性的角度研究随机变量序列的收敛性，不仅包括独立同分布的随机变量序列，还包括不独立的情况，例如na序列和-混合序列。 |
| 10. | In chapter five , let { xt , i 1 } be - mixing sequences with identical distributions , which belong to domain of normal attraction with non - generational and stable distribution . with probability one , we have limsup a . s
第五章，设x _ n ， n 1是同分布-混合序列，其分布属于特征指数为( 0 2 )的非退化稳定分布的正则吸引场，证明了依概率1有 |
