Probability and Stochastic Processes
A Friendly Introduction for Electrical and Computer Engineers, International Adaptation
4. Edition December 2024
576 Pages, Softcover
Wiley & Sons Ltd
Probability and Stochastic Processes - A Friendly Introduction for Electrical and Computer Engineers, Fourth Edition serves as an accessible guide for engineering students delving into the realms of probability theory and stochastic processes.This text strikes a balance between rigorous mathematical exposition and clear, intuitive explanations, ensuring that students grasp the fundamental concepts essential for applying mathematics to real-world engineering challenges. Enhanced with the practical MATLAB applications. The book offers students valuable hands-on experienceto reinforce the theoretical material.
This International adaptation has been thoroughly revised and updated. Notably, it includes a new chapter on Probabilistic Inequalities and Bounds. The sections on Stochastic Processes and Sums of Random Variables have been comprehensively enhanced to encompass additional topics, aligning with the latest curriculum requirements. With an array of new and updated examples, quizzes, and end-of-chapter problems, the book provides robust support to students, particularly in bridging the gap between theoretical probability and its practical applications in engineering.
Preface
1 Random Experiments, Models, and Probabilities
2 Sequential Random Experiments
3 Discrete Random Variables
4 Continuous Random Variables
5 Multiple Random Variables
6 Probability Models of Derived Random Variables
7 Conditional Probability Models
8 Random Vectors
9 Sums of Random Variables
10 Hypothesis Testing
11 Estimation of a Random Variable
12 Some Probabilistic Inequalities and Bounds
13 Stochastic Processes and Markov Chains
14 Stationary Processes and Random Signal Processing
Appendix A The Sample Mean
Appendix B Families of Random Variables
Appendix C A Few Math Facts
References
Index
