The final chapters (7–8) provide a detailed treatment of Markov chains (transition and limiting probabilities) and continuous Markov processes. Practical Features
If you are looking to purchase or use this as a study guide, you can find it at retailers like Dover Publications , Barnes & Noble , or Amazon . Probability Theory: A Concise Course
Reviewers often describe it as an excellent "pocket reference" or review tool rather than a comprehensive first-time textbook. Some readers note that its "concise" nature means certain topics, like , are not explicitly covered, and the transition to later, more technical chapters can be steep for beginners. The final chapters (7–8) provide a detailed treatment
Brief introductions to Information Theory , Game Theory , Branching Processes , and Optimal Control expand the book's scope. Some readers note that its "concise" nature means
by Y. A. Rozanov is a highly regarded, compact introduction to modern probability, renowned for its mathematical precision and succinct style. Translated from Russian by Richard A. Silverman , this classic Dover Publications textbook provides a fast-moving yet self-contained overview of the subject in just 160 pages. Core Content and Structure
Chapter 4 covers discrete and continuous random variables, mathematical expectation, and Chebyshev's Inequality .