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Probability and stochastic processes : a friendly introduction fo r electrical and computer engineers / Roy D. Yates, Rutgers, the Sta te University of New Jersey, David J. Goodman, New York University.

By: Contributor(s): Material type: TextText Hoboken, NJ : John Wiley & Sons, [2014]Edition: Third editionDescription: xvi, 496 pages : illustrations ; 24 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781118324561 (paperback)
Subject(s): DDC classification:
  • 519.2  23
Contents:
Machine generated contents note: Chapter 1. Experiments, Models, an d Probabilities Chapter 2. Discrete Random Variables Chapter 3. Continu ous Random Variables Chapter 4. Pairs of Random Variables Chapter 5. Ra ndom Vectors Chapter 6. Sums of Random Variables Chapter 7. Parameter E stimation Using the Sample Mean Chapter 8. Hypothesis Testing Chapter 9 . Estimation of a Random Variable Chapter 10. Stochastic Processes Chap ter 11. Random Signal Processing Chapter 12. Markov Chains .
Summary: "In Probability and Stochastic Processes: A Friendly Introduction fo r Electrical and Computer Engineers, readers are able to grasp the conc epts of probability and stochastic processes, and apply these in profes sional engineering practice. The 3rd edition also includes quiz solutio ns within the appendix of the text. The resource presents concepts clea rly as a sequence of building blocks identified as an axiom, definition or theorem. This approach allows for a better understanding of the mat erial, which can be utilized in solving practical problems"-- Provid ed by publisher.
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Holdings
Item type Current library Call number Status Barcode
Books - Open Access Books - Open Access Faculty of Technology - Book Bank 519.2 YAT (Browse shelf(Opens below)) Available 001134707

Includes bibliographical references (pages 489-490) and index.

Machine generated contents note: Chapter 1. Experiments, Models, an d Probabilities Chapter 2. Discrete Random Variables Chapter 3. Continu ous Random Variables Chapter 4. Pairs of Random Variables Chapter 5. Ra ndom Vectors Chapter 6. Sums of Random Variables Chapter 7. Parameter E stimation Using the Sample Mean Chapter 8. Hypothesis Testing Chapter 9 . Estimation of a Random Variable Chapter 10. Stochastic Processes Chap ter 11. Random Signal Processing Chapter 12. Markov Chains .

"In Probability and Stochastic Processes: A Friendly Introduction fo r Electrical and Computer Engineers, readers are able to grasp the conc epts of probability and stochastic processes, and apply these in profes sional engineering practice. The 3rd edition also includes quiz solutio ns within the appendix of the text. The resource presents concepts clea rly as a sequence of building blocks identified as an axiom, definition or theorem. This approach allows for a better understanding of the mat erial, which can be utilized in solving practical problems"-- Provid ed by publisher.

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