Bounds for the Central Limit Theorem Error

Abstract

This paper obtains bounds on the error of the normal approximation to the cumulative distribution function of sums of independent random variables. The bounds are given as functions of the second and third absolute moments of the underlying random variables under Lyapunov’s conditions for the Central Limit Theorem.