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1. Probability; 2. Conditional probability and independence; 3. Counting; 4. Random variables: distribution and expectation; 5. Random vectors: independence and dependence; 6. Generating functions and their applications; 7. Continuous random variables; 8. Jointly continuous random variables; 9. Markov chains; Appendix.
'... this book is a superb resource of theory and application, which should be on every lecturer's shelves, and those of many students. You may never need to buy another book on probability.' Keith Hirst, The Mathematical Gazette 'Excellent! A vast number of well-chosen worked examples and exercises guide the reader through the basic theory of probability at the elementary level ... an excellent text which I am sure will give a lot of pleasure to students and teachers alike.' International Statistics Institute '... would make a fine addition to an undergraduate library. A student with a solid background in calculus, linear algebra, and set theory will find many useful tools of elementary probability here.' Phil Gilbert, The Mathematics Teacher 'Stirzaker does an excellent job of developing problem-solving skills in an introductory probability text. Numerous examples and practice exercises are provided that only serve to enhance a student's problem solving abilities ... Highly recommended.' D. J. Gougeon, Choice 'The book would make an excellent text for the properly prepared class, a solid instructor's reference for both probability applications and problems, as well as a fine work for purposes of self-study.' J. Philip Smith, School Science and Mathematics 'This book is a valuable resource for anyone teaching probability-and, accordingly, I am glad to have it.' The Journal of the Royal Statistical Society 'The strong feature of the textbook is a choice of good examples ... the book is suitable for a first university course in probability and very useful for self-study.' EMS Newsletter 'As the first edition, the book is very well written, in a clear, detailed and readable style. It is accessible for undergraduate students and would make a good textbook for first courses on probability or for self-study.' Zentralblatt MATH