Probability Theory: A Concise Course -

The book is structured into eight chapters that guide the reader from elementary foundations to advanced stochastic processes:

Chapter 5 focuses on Bernoulli trials, the binomial and Poisson distributions, and the De Moivre-Laplace theorem . Probability Theory: A Concise Course

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

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 binomial and Poisson distributions

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