Description
Introduction to Probability provides a comprehensive introduction to the principles and methods of probability theory, combining mathematical foundations with practical problem-solving and applications. The book covers conditional probability, independence, discrete and continuous random variables, expectation, common probability distributions, generating functions, laws of large numbers, the central limit theorem, and Markov chains. It emphasizes developing probabilistic intuition alongside rigorous mathematical reasoning, using examples, problems, and applications to illustrate how probability models can be constructed and analyzed. The second edition further develops computational and simulation-based approaches to probability and includes a broad range of exercises designed to strengthen conceptual understanding and problem-solving skills. It is a useful resource for students studying probability, statistics, mathematics, computer science, and related quantitative disciplines.
