独立与相依变量和的强逼近

STRONG APPROXIMATIONS FOR PARTIAL SUMS OF INDEPENDENT AND DEPENDENT RANDOM VARIABLES

  • 摘要: 在本文中,结合我们的工作介绍了强逼近理论的若干新进展,全文分五部分:1.Wiener过程的增量。2.独立同分布随机变量和的强逼近。3.独立不同分布随机变量和的增量。4.混合随机变量和的强逼近。5.随机变量函数及其它相依变量的强逼近。

     

    Abstract: In this paper, we will associated with our works to state some new advance in the theory of strong approximations.There are five parts in the paper, i.e.1.Increments of a Wiener process.2.Strong approximations for partial sums of IIDRV’s.3.The increments of partial sums of independent R.V.s (non-identically distri- buted).4.Strong approximations of mixing R V.s.5.Strong approximations for other kinds of dependent R.V.’s and functional of R.V.s.

     

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