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Probability and Stochastic Processes. A Friendly Introduction for Electrical and Computer Engineers. 3rd Edition International Student Version

  • ID: 3900711
  • Book
  • October 2014
  • Region: Global
  • 480 Pages
  • John Wiley and Sons Ltd
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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Chapter 1. Experiments, Models, and Probabilities

Chapter 2. Sequential Experiments

Chapter 3. Discrete Random Variables

Chapter 4. Continuous Random Variables

Chapter 5. Multiple Random Vectors

Chapter 6. Probability Models of Derived Random Variables

Chapter 7. Conditional Probability Models

Chapter 8. Random Vectors

Chapter 9. Sums of Random Variables

Chapter 10. The Sample Mean 

Chapter 11. Hypothesis Testing

Chapter 12. Estimation of a Random Variable

Chapter 13. Stochastic Processes

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Roy D. Yates
David J. Goodman
Note: Product cover images may vary from those shown
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