Table of contents : Title Page......Page 1 Preface......Page 5 CONTENTS......Page 8 1. Introduction......Page 16 2. Computer Simulation......Page 28 3. Basic Prob ability......Page 51 4. Conditional Probability......Page 87 5. Discrete Random Variables......Page 119 6. Expected Values for Discrete Random Variables......Page 146 7. Multiple Discrete Random Variables......Page 180 8. Condition al Probability Mass Functions......Page 227 9. Discrete N-Dimensional Random Variables......Page 259 10. Continuous Random Variables......Page 296 11. Expected Values for Continuous Random Variables......Page 354 12. Multiple Continuous RandomVariables......Page 387 13. Conditional Probability Density Functions......Page 442 14. Continuous N- Dimensional Random Variables......Page 465 15. Prob ability and MomentApproximations Using Limit Theorems......Page 492 16. Basic Random Processes......Page 522 17. Wide Sense Station ary RandomProcesses......Page 554 18. Linear Systems and Wide Sense Stationary Random Processes......Page 604 19. Multiple Wide Sense Stationary Random Processes......Page 647 20. Gaussian Random Processes......Page 678 21. Poisson Random Processes......Page 715 22. Markov Chains......Page 743 A: Glossary of Symbols and Abbrevations......Page 779 B: Assorted Math Facts and Formulas......Page 785 C: Linear and Matrix Algebra......Page 790 D: Summary of Signals , Linear Transforms, and Linear Systems......Page 796 E: Answers to Selected Problems......Page 810 INDEX......Page 824