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.

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

The final chapters (7–8) provide a detailed treatment of Markov chains (transition and limiting probabilities) and continuous Markov processes. Practical Features Reviewers often describe it as an excellent "pocket

Chapter 6 introduces generating functions, characteristic functions, and the Central Limit Theorem . are not explicitly covered

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.

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

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

Chapter 6 introduces generating functions, characteristic functions, and the Central Limit Theorem .