Theory: A Concise Course - Probability

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.

Includes 150 problems with many hints and answers provided, making it suitable for self-study.

The book is structured into eight chapters that guide the reader from elementary foundations to advanced stochastic processes: Probability Theory: A Concise Course

Chapter 4 covers discrete and continuous random variables, mathematical expectation, and Chebyshev's Inequality .

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 Reviewers often describe it as an excellent "pocket

Chapter 5 focuses on Bernoulli trials, the binomial and Poisson distributions, and the De Moivre-Laplace theorem .

Brief introductions to Information Theory , Game Theory , Branching Processes , and Optimal Control expand the book's scope. The book is structured into eight chapters that

Despite its brevity, the text is dense with educational resources: