Uniformly accurate quantile bounds via the truncated moment generating function: The symmetric case

In English Let X-1, X-2,... be independent and symmetric random variables such that S-n = X-1+...+ X-n converges to a finite valued random variable S a. s. and let S* = sup(1 <= n = 2 and the LHS's for y >= 94 and y >= 97, respectively. Although our results are derived primarily for symmetric random variables, they apply to non-negative variates and extend to an absolute value of a sum of independent but otherwise arbitrary random variables.