This classic text and reference introduces probability theory for both advanced undergraduate students of statistics and scientists in related fields, drawing on real applications in the physical and biological sciences. The book makes probability exciting. --Journal of the AmericanStatistical Association
1. The Probabilities of Events 2. Discrete Distributions 3. Markov Processes 4. Probability and Measure Theory 5. Random Variables and Continuous Distributions 6. The Characteristic Function 7. Special Continuous Distributions 8. Sequences and Sums 9. The Arithmetic of Distributions and the Brownian Movement 10. The Random Walk