Let ${ X, X_i , i geq 1}$ be i.i.d. random variables, $S_k$ be the partial sum and $V_n^2 = sum_{1leq ileq n} X_i^2$. Assume that $E(X)=0$ and $E(X^4) < infty$. In this paper we discuss the moderate deviations of the maximum of the self-normalized sums. In particular, we prove that $P(max_{1 leq k leq n} S_k geq x V_n) / (1- Phi(x)) o 2$ uniformly in $x in [0, o(n^{1/6}))$.
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机译:令$ {X,X_i,i geq 1 } $为i.i.d.随机变量$ S_k $是部分和,而$ V_n ^ 2 = sum_ {1 leq i leq n} X_i ^ 2 $。假设$ E(X)= 0 $和$ E(X ^ 4)< infty $。在本文中,我们讨论了自归一化和的最大值的适度偏差。特别是,我们证明$ P( max_ {1 leq k leq n} S_k geq x V_n)/(1- Phi(x)) to在$ x in [0,o (n ^ {1/6}))美元。
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