A refinement of the central limit theorem for sums of independent random indicators

This paper introduces an estimate of approximation errors for the distribution function of a sum of random indicators. The approximation is demonstrated with the help of the problem of estimating the distribution function of the empty cells number in the equiprobable scheme for group distribution of particles.