An introductory textbook for undergraduate engineering students learning the basic concepts of randomness and modeling random systems. Features include easy-to-follow lessons, end-of-chapter problems, and a quick tutorial on using
Mathematica for real-life modeling situations. The publisher will distribute an
electronic version.
The Probability Paradigm | The Binomial Model and Random Variables | Continuous Random Variables and the Gaussian Model | Statistics | The Poisson Model | Modeling Random Signals | Tutorial on
Mathematica | Tutorial on Convolution | Summary of Common Probability Models | Index
Probability and Statistics
