Chapter 1. Probability Models in Electrical and Computer Engineering.
Mathematical models as tools in analysis and design
Deterministic models
Probability models.
Statistical regularity
A detailed example: a packet voice transmission system
Other examples.
Overview of book
Summary
Problems.
Chapter 2. Basic Concepts of Probability Theory.
Specifying random experiments.
The axioms of probability.
Computing probabilities using counting methods.
Continuous sample spaces.
Conditional probability.
Independence of events. Sequential experiments.
Chapter 3. Discrete Random Variables.
4. One Random Variables.
5. Pairs of Random Variables.
6. Vector Random Variables.
7. Sums of Random Variables and Long term Averages.
8. Statistics
9. Random Processes
10. Analysis and Processes of Random Signals
11. Markov Chains
12. Introduction to Queuering Theory