A Concise Course - Probability Theory:

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

Chapter 4 covers discrete and continuous random variables, mathematical expectation, and Chebyshev's Inequality . Probability Theory: A Concise Course

Chapters 1–3 establish basic concepts such as relative frequency, combinatorial analysis, sample spaces, the addition law, and statistical independence. Chapter 5 focuses on Bernoulli trials, the binomial

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 Translated from Russian by Richard A

The final chapters (7–8) provide a detailed treatment of Markov chains (transition and limiting probabilities) and continuous Markov processes. Practical Features

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

While rigorous, it requires no prior knowledge of measure theory , making it accessible to undergraduate students with a basic background in calculus. Critical Reception