A course in probability /
Probability
Neil A. Weiss, with contributions from Paul T. Holmes, Michael Hardy.
- Boston : Pearson Addison Wesley, c2006.
- xviii, 742, 39, 8 p. : ill. ; 24 cm.
Includes index.
Part 1. Fundamentals of probability: 1. Probability basics - 2. Mathematical probability - 3. Combinational probability - 4. Conditional probability and independence -- Part 2. Discrete random variables: 5. Discrete random variables and their distributions - 6. Jointly discrete random variables - 7. Expected value of discrete random variables -- 3. Continuous random variables: 8. Continuous random variables and their distributions - 9. Jointly continuous random variables - 10. Expected value of continuous random varialbes -- Part 4. Limit theorems and applications: 11. Generating functions and limit theories - 12. Applications of probability theory.