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Self-normalized Cramér type moderate deviations for the maximum of sums (1307.6044v1)
Published 23 Jul 2013 in math.ST and stat.TH
Abstract: Let $X_1,X_2,...$ be independent random variables with zero means and finite variances, and let $S_n=\sum_{i=1}nX_i$ and $V2_n=\sum_{i=1}nX2_i$. A Cram\'{e}r type moderate deviation for the maximum of the self-normalized sums $\max_{1\leq k\leq n}S_k/V_n$ is obtained. In particular, for identically distributed $X_1,X_2,...,$ it is proved that $P(\max_{1\leq k\leq n}S_k\geq xV_n)/(1-\Phi (x))\rightarrow2$ uniformly for $0<x\leq\mathrm{o}(n{1/6})$ under the optimal finite third moment of $X_1$.