Probability and Stochastic Processes
eBook - ePub

Probability and Stochastic Processes

A Friendly Introduction for Electrical and Computer Engineers, International Adaptation

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Probability and Stochastic Processes

A Friendly Introduction for Electrical and Computer Engineers, International Adaptation

About this book

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.

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Information

Publisher
Wiley
Year
2024
Print ISBN
9781394304226
eBook ISBN
9781394304233
Edition
4

Table of contents

  1. Cover Page
  2. Halftitle
  3. Title Page
  4. Copyright Page
  5. Dedication
  6. Preface
  7. 1 Random Experiments, Models, and Probabilities
  8. 2 Sequential Random Experiments
  9. 3 Discrete Random Variables
  10. 4 Continuous Random Variables
  11. 5 Multiple Random Variables
  12. 6 Probability Models of Derived Random Variables
  13. 7 Conditional Probability Models
  14. 8 Random Vectors
  15. 9 Sums of Random Variables
  16. 10 Hypothesis Testing
  17. 11 Estimation of a Random Variable
  18. 12 Some Probabilistic Inequalities and Bounds
  19. 13 Stochastic Processes and Markov Chains
  20. 14 Stationary Processes and Random Signal Processing
  21. Appendix A The Sample Mean
  22. Appendix B Families of Random Variables
  23. Appendix C A Few Math Facts
  24. References
  25. Index
  26. EULA

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Yes, you can access Probability and Stochastic Processes by Roy D. Yates,David J. Goodman in PDF and/or ePUB format. We have over 1.5 million books available in our catalogue for you to explore.