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On weighted approximations in D [0, 1] with applications to self-normalized partial sum processes

机译:D [0,1]中的加权逼近及其在自归一化部分和过程中的应用

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摘要

Let X,X 1,X 2,… be a sequence of non-degenerate i.i.d. random variables with mean zero. The best possible weighted approximations are investigated in D[0, 1] for the partial sum processes {S [nt], 0 ≦ t ≦ 1} where S n = Σ j=1 n X j , under the assumption that X belongs to the domain of attraction of the normal law. The conclusions then are used to establish similar results for the sequence of self-normalized partial sum processes {S [nt]=V n , 0 ≦ t ≦ 1}, where V n 2 = Σ j=1 n X j 2. L p approximations of self-normalized partial sum processes are also discussed.
机译:令X,X 1,X 2,…为一个非简并i.i.d序列。均值为零的随机变量。在假设X属于X的前提下,对于S和= ∑ j = 1 n X j的部分和过程{S [nt],0≤t≤1},在D [0,1]中研究了最佳的加权近似。普通法的吸引力范围。然后,这些结论可用于为自归一化部分和过程的序列{S [nt] = V n,0≤t≤1}建立相似的结果,其中V n 2 =Σj = 1 n X j2。L还讨论了自归一化部分和过程的p近似。

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