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.
The aim of this book is to provide a simple introduction to the theory of probability.
"In summary, the text offers an up-to-date, lively exposition of elementary probability, with emphasis on excellent examples, exercises and problems, and interesting applications of the theory that is presented. Stirzaker states that 'a principal purpose of the book is to help the student to solve problems.' Most students, I think, would feel that Stirzaker has succeeded in this regard. 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
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