Probability and stochastic processes : a friendly introduction for electrical and computer engineers
Author(s)
Bibliographic Information
Probability and stochastic processes : a friendly introduction for electrical and computer engineers
John Wiley, c2015
3rd ed
- : pbk
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Note
International student version
Includes bibliographical references and index
Description and Table of Contents
Description
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.
Table of Contents
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
by "Nielsen BookData"