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Now available in a fully revised and updated second edition, this well established textbook provides a straightforward introduction to the theory of probability. The presentation is entertaining without any sacrifice of rigour; important notions are covered with the clarity that the subject demands. Topics covered include conditional probability, independence, discrete and continuous random variables, basic combinatorics, generating functions and limit theorems, and an introduction to Markov chains. The text is accessible to undergraduate students and provides numerous worked examples and exercises to help build the important skills necessary for problem solving.
Now available in a fully revised and updated second edition, this well established textbook provides a straightforward introduction to the theory of probability
This clear and lively introduction to probability theory concentrates on the results that are the most useful for applications, including combinatorial probabil
This book provides an elementary introduction to probability theory and its applications. The emphasis is on essential probabilistic reasoning, amply motivated,
This compact volume equips the reader with all the facts and principles essential to a fundamental understanding of the theory of probability. It is an introduc
Using only the very elementary framework of finite probability spaces, this book treats a number of topics in the modern theory of stochastic processes. This is