Limit Distributions for Sums of Independent Random Variables - by B. V. Gnedenko & A. N. Kolmogorov

This work, primarily focused on probability theory, explores limit distributions in the context of sums of independent random variables. Gnedenko and Kolmogorov delve into the central limit theorem and other limit theorems that describe how the distribution of a sum of random variables behaves as the number of terms increases.