This manual pertains to a graduate-level text on probability, first published in 1967 and later reissued by Dover Publications. The book delves into fundamental concepts of analytic probability, including probability spaces, distributions, and stochastic independence. It further explores advanced topics such as strong limit theorems for independent random variables and various stochastic processes, offering comprehensive coverage for students and professionals in the field.

The purpose of this manual is to provide a detailed reference for the content covered within the aforementioned text. It outlines the key areas of study, from foundational principles to more complex theoretical frameworks. This resource is designed to support advanced academic study and professional development in the discipline of probability and statistics, serving as a valuable tool for understanding and applying its principles.