Probability and Stochastic Processes: A Friendly Introduction for Electrical and Computer Engineers, International Adaptation

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.

Table of Contents:
Preface vii 1 Random Experiments, Models, and Probabilities 1 2 Sequential Random Experiments 31 3 Discrete Random Variables 53 4 Continuous Random Variables 103 5 Multiple Random Variables 145 6 Probability Models of Derived Random Variables 199 7 Conditional Probability Models 225 8 Random Vectors 257 9 Sums of Random Variables 285 10 Hypothesis Testing 307 11 Estimation of a Random Variable 339 12 Some Probabilistic Inequalities and Bounds 369 13 Stochastic Processes and Markov Chains 391 14 Stationary Processes and Random Signal Processing 457 Appendix A The Sample Mean 517 Appendix B Families of Random Variables 541 Appendix C A Few Math Facts 547 References 553 Index 555

About the Author :
Roy Yates received the B.S.E. degree in 1983 from Princeton and the S.M. and Ph.D. degrees in 1986 and 1990 from MIT, all in Electrical Engineering. Since 1990, he has been with the Wireless Information Networks Laboratory (WINLAB) and the ECE department at Rutgers University. Presently, he is an Associate Director of WINLAB and a Professor in the ECE Dept. He is a co-author (with David Goodman) of the text Probability and Stochastic Processes: A Friendly Introduction for Electrical and Computer Engineers, published by John Wiley and Sons. He is a co-recipient (with Christopher Rose and Sennur Ulukus) of the 2003 IEEE Marconi Prize Paper Award in Wireless Communications. His research interests include power control, interference suppression and spectrum regulation for wireless systems.