Probability and Stochastic Processes
eBook - PDF

Probability and Stochastic Processes

A Friendly Introduction for Electrical and Computer Engineers

  1. 478 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Probability and Stochastic Processes

A Friendly Introduction for Electrical and Computer Engineers

About this book

This text introduces engineering students to probability theory and stochastic processes. Along with thorough mathematical development of the subject, the book presents intuitive explanations of key points in order to give students the insights they need to apply math to practical engineering problems. The first five chapters contain the core material that is essential to any introductory course. In one-semester undergraduate courses, instructors can select material from the remaining chapters to meet their individual goals. Graduate courses can cover all chapters in one semester.

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Key takeaways

AI-Generated Insights
Insight 1

Apply fundamental probability axioms and theorems to model random experiments. Characterize discrete and continuous random variables using probability mass/density functions, cumulative distribution functions, and expected values.

Insight 2

Analyze systems involving multiple random variables by determining joint and marginal distributions, covariance, and correlation. Utilize the Central Limit Theorem and Laws of Large Numbers, and apply methods for hypothesis testing and parameter estimation.

Insight 3

Evaluate the properties of various stochastic processes, including Poisson and Brownian motion, by analyzing their expected values, correlation, and stationarity. Apply these models to solve practical engineering problems.

Information

Publisher
Wiley
Year
2014
Print ISBN
9781118808719
eBook ISBN
9781118808795
Edition
3
Topic
Mathematics
Subtopic
Probability & Statistics
Index
Mathematics

Table of contents

  1. Cover
  2. Title Page
  3. Copyright
  4. Features of this Text
  5. Preface
  6. Contents
  7. Chapter 1: Experiments, Models, and Probabilities
  8. Chapter 2: Sequential Experiments
  9. Chapter 3: Discrete Random Variables
  10. Chapter 4: Continuous Random Variables
  11. Chapter 5: Multiple Random Variables
  12. Chapter 6: Probability Models of Derived Random Variables
  13. Chapter 7: Conditional Probability Models
  14. Chapter 8: Random Vectors
  15. Chapter 9: Sums of Random Variables
  16. Chapter 10: The Sample Mean
  17. Chapter 11: Hypothesis Testing
  18. Chapter 12: Estimation of a Random Variable
  19. Chapter 13: Stochastic Processes
  20. Appendix A: Families of Random Variables
  21. Appendix B: A Few Math Facts
  22. References
  23. Index

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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, as well as other popular books in Mathematics & Probability & Statistics. We have over one million books available in our catalogue for you to explore.